|
| 1 | +from fastembed import TextEmbedding, LateInteractionTextEmbedding, SparseTextEmbedding |
| 2 | +from fastembed.sparse.bm25 import Bm25 |
| 3 | +from fastembed.rerank.cross_encoder import TextCrossEncoder |
| 4 | + |
| 5 | + |
| 6 | +text_embedder = TextEmbedding(cache_dir="models") |
| 7 | +late_interaction_embedder = LateInteractionTextEmbedding(model_name="", cache_dir="models") |
| 8 | +reranker = TextCrossEncoder(model_name="", cache_dir="models") |
| 9 | +sparse_embedder = SparseTextEmbedding(model_name="", cache_dir="models") |
| 10 | +bm25_embedder = Bm25( |
| 11 | + model_name="", |
| 12 | + k=1.0, |
| 13 | + b=1.0, |
| 14 | + avg_len=1.0, |
| 15 | + language="", |
| 16 | + token_max_length=1, |
| 17 | + disable_stemmer=False, |
| 18 | + specific_model_path="models", |
| 19 | +) |
| 20 | + |
| 21 | +text_embedder.list_supported_models() |
| 22 | +text_embedder.embed(documents=[""], batch_size=1, parallel=1) |
| 23 | +text_embedder.embed(documents="", parallel=None, task_id=1) |
| 24 | +text_embedder.query_embed(query=[""], batch_size=1, parallel=1) |
| 25 | +text_embedder.query_embed(query="", parallel=None) |
| 26 | +text_embedder.passage_embed(texts=[""], batch_size=1, parallel=1) |
| 27 | +text_embedder.passage_embed(texts=[""], parallel=None) |
| 28 | + |
| 29 | +late_interaction_embedder.list_supported_models() |
| 30 | +late_interaction_embedder.embed(documents=[""], batch_size=1, parallel=1) |
| 31 | +late_interaction_embedder.embed(documents="", parallel=None) |
| 32 | +late_interaction_embedder.query_embed(query=[""], batch_size=1, parallel=1) |
| 33 | +late_interaction_embedder.query_embed(query="", parallel=None) |
| 34 | +late_interaction_embedder.passage_embed(texts=[""], batch_size=1, parallel=1) |
| 35 | +late_interaction_embedder.passage_embed(texts=[""], parallel=None) |
| 36 | + |
| 37 | +reranker.list_supported_models() |
| 38 | +reranker.rerank(query="", documents=[""], batch_size=1, parallel=1) |
| 39 | +reranker.rerank(query="", documents=[""], parallel=None) |
| 40 | +reranker.rerank_pairs(pairs=[("", "")], batch_size=1, parallel=1) |
| 41 | +reranker.rerank_pairs(pairs=[("", "")], parallel=None) |
| 42 | + |
| 43 | +sparse_embedder.list_supported_models() |
| 44 | +sparse_embedder.embed(documents=[""], batch_size=1, parallel=1) |
| 45 | +sparse_embedder.embed(documents="", batch_size=1, parallel=None) |
| 46 | +sparse_embedder.query_embed(query=[""], batch_size=1, parallel=1) |
| 47 | +sparse_embedder.query_embed(query="", batch_size=1, parallel=None) |
| 48 | +sparse_embedder.passage_embed(texts=[""], batch_size=1, parallel=1) |
| 49 | +sparse_embedder.passage_embed(texts=[""], batch_size=1, parallel=None) |
| 50 | + |
| 51 | +bm25_embedder.list_supported_models() |
| 52 | +bm25_embedder.embed(documents=[""], batch_size=1, parallel=1) |
| 53 | +bm25_embedder.embed(documents="", batch_size=1, parallel=None) |
| 54 | +bm25_embedder.query_embed(query=[""], batch_size=1, parallel=1) |
| 55 | +bm25_embedder.query_embed(query="", batch_size=1, parallel=None) |
| 56 | +bm25_embedder.raw_embed(documents=[""]) |
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