Related Issues (20)
- Unrecognized configuration class ChameleonConfig HOT 5
- Using Trainer + a pretrained tokenizer + 4D attention mask is extremely slow
- gemma2 + flash atten Error: RuntimeError: linalg.vector_norm: Expected a floating point or complex tensor as input. Got Long HOT 3
- Licence HOT 2
- ValueError: The checkpoint you are trying to load has model type `chameleon` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date. HOT 1
- Gemma template won't end with eos_token HOT 9
- LlavaNextVideo always assumes left padding when batch size is 1 HOT 1
- _prepare_4d_causal_attention_mask mask inversion should work boolean masks HOT 2
- Output from model.Generate & model.forward not same when output attention/hidden_state is True
- Metadata HOT 1
- RuntimeError: Failed to import transformers.pipelines because of the following error (look up to see its traceback): module 'tensorflow' has no attribute 'data' HOT 1
- Exception raised when running `T5-like span-masked language modeling` example in `examples/flax/language-modeling/` HOT 2
- TF Lite model created from TFWhisperForConditionalGeneration.from_pretrained craches HOT 2
- Table question answering pipeline failing to save HOT 3
- No module named 'transformers.modeling_flash_attention_utils' HOT 2
- Is apply_chat_template support function call usage? HOT 2
- Wav2Vec2ProcessorWithLM doesn't handle unknown token well for BPE HOT 4
- TimmBackbone.from_pretrained out_indices not working correctly (out_indices is sorted using strings blocks.11 before blocks.3) HOT 2
- phi-3's LlamaTokenizer ignores newline character. HOT 2
- callback to implement how the predictions should be stored. HOT 2
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from transformers.