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Summary:
Adds video processing support to the Llama4 model by extending the existing vision encoder infrastructure to handle video content. It introduces video-specific special tokens (<|video|>, <|vid_start|>, <|vid_end|>, <|vid_frame_separator|>) in the tokenizer, implements a new transform_video() method that processes video clips as sequences of frames through the existing image transform pipeline, and registers a "video" encoder in the EarlyFusionModel that reuses the vision encoder while maintaining separate tokenization paths for images and videos.
(Used HF implementation as a reference to ensure consistent changes in _tokenizer.py)
Differential Revision: D89577119