Comments (1)
Hi @dwchoo thank you for reporting the issue and submitting a PR, I will check this out!
cc @SangbumChoi
from transformers.
Related Issues (20)
- Inference API takes forever and output: "Model ... is currently loading" [couldn't reopen #23793] HOT 1
- `run_summarization` likely race condition creates flaky `test_tensorflow_examples`
- Constraint.advance() docstring is slighly incorrect HOT 2
- RuntimeError: Failed to import transformers.integrations.bitsandbytes because of the following error (look up to see its traceback): cannot import name 'get_keys_to_not_convert' from 'transformers.integrations' HOT 1
- fp16 support for grounding dino HOT 1
- class Cache must not be a subclass of `torch.nn.Module`
- Can't load Llama's tokenizer with add_prefix_space=True parameter. HOT 1
- tracker: move `prepare_inputs_for_generation` into the generation mixin ๐งน HOT 2
- `eval_on_start` triggers `AttributeError` in JupyterLab HOT 1
- Mamba slow implementation datatype mismatch HOT 1
- Causal lanuage modeling should consider loss masks for pad tokens. HOT 2
- Confusion around correct bounding box format for DETR training HOT 4
- Q-GaLore Support HOT 1
- Cache updating when use_cache = False HOT 7
- split head_dim from hidden_size for llama like gemma or mistral
- Only last elements have expected outputs when doing batch inference HOT 4
- `resize_token_embeddings` with same tokenizer changing the model Embedding size HOT 1
- Jamba model: 'AttributeError: 'HybridMambaAttentionDynamicCache' object has no attribute '_modules'' HOT 1
- Difference in embedding weight initialization for randomly initialized T5 model
- confusing deprecation msg for `DynamicCache.seen_tokens` - no `cache_position` in this class HOT 1
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from transformers.