Related Issues (20)
- when l use the model generate method within @tf.function, it encounterd a mistake, but my logic was fine. HOT 4
- Questions about supporting KV Cache quantization for models that do not support quantized cache now HOT 7
- How to use hugginface for training: google-t5/t5-base HOT 1
- The llava processor does not appear to support batch process. HOT 6
- [Falcon Mamba] Unexpected model output with use_cache=False and model.train() HOT 5
- 'CohereModel' object has no attribute '_prune_heads' HOT 3
- When will Transformers version 4.45.0 be released? HOT 1
- RobertaTokenizer has incorrect character offsets HOT 3
- M2M100Tokenizer vocabulary size is not equal to the m2m embedding_size for the "facebook/m2m100_418M" model. HOT 1
- when l use the model generate method within @tf.function, it encounterd a mistake HOT 1
- cannot import name 'ShardedDDPOption' from 'transformers.trainer' HOT 6
- Supprot for qwen2moe gguf models HOT 4
- ValueError: Cannot use apply_chat_template() because tokenizer.chat_template is not set HOT 4
- DETR documentation typo: repeated word `be be`
- Community contribution: Adding GGUF support for more architectures HOT 7
- LlavaNextProcessor bug in `_get_unpadded_features` HOT 1
- latest 44.4.2 doesn't support falcon_mamba HOT 1
- Add Log-Softmax Temperature Option to transformers.Seq2SeqTrainingArguments for CE Loss HOT 1
- prepare_fa2_from_position_ids error in training with batch_size > 1
- Static KV cache status: How to use it? Does it work for all models? HOT 2
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from transformers.