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jeremyfowersjeremyfowers
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Repair the transformers corpus
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+215
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lines changed

‎models/transformers/albert.py

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# labels: name::albert author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import AlbertModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
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["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/auto.py

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# labels: name::auto author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import AutoModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/bart.py

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# labels: name::bart author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import BartModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/bert.py

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# labels: name::bert author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import BertModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/bertlmhead.py

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# labels: name::bertlmhead author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import BertLMHeadModel, AutoConfig
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import torch
65

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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/bigbird.py

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# labels: name::bigbird author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import BigBirdModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/bigbirdpegasus.py

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# labels: name::bigbirdpegasus author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import BigBirdPegasusModel, AutoConfig
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import torch
65

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torch.manual_seed(0)
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78
# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/biogpt.py

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# labels: name::biogpt author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import BioGptModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/blenderbot.py

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# labels: name::blenderbot author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import BlenderbotModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/blenderbotsmall.py

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# labels: name::blenderbotsmall author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import BlenderbotSmallModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/bloom.py

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# labels: name::bloom author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import BloomModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/camembert.py

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# labels: name::camembert author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import CamembertModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/canine.py

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# labels: name::canine author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import CanineModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/codegen.py

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# labels: name::codegen author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import CodeGenModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
31-

‎models/transformers/convbert.py

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# labels: name::convbert author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import ConvBertModel, AutoConfig
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import torch
65

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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/ctrl.py

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# labels: name::ctrl author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import CTRLModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/ctrllmhead.py

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# labels: name::ctrllmhead author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import CTRLLMHeadModel, AutoConfig
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import torch
65

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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/deberta.py

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# labels: name::deberta author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import DebertaModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/debertav2.py

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# labels: name::debertav2 author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import DebertaV2Model, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
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["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/distilbert.py

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# labels: name::distilbert author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import DistilBertModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
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‎models/transformers/electra.py

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# labels: name::electra author::transformers task::Generative_AI license::apache-2.0
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from turnkeyml.parser import parse
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from transformers import ElectraModel, AutoConfig
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import torch
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torch.manual_seed(0)
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# Parsing command-line arguments
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pretrained, batch_size, max_seq_length = parse(
910
["pretrained", "batch_size", "max_seq_length"]
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# Call model
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model(**inputs)
31-

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