Comments (1)
Yes, the readme example was for an older version. I have updated them with the simplified parameters used in the current release. Thanks.
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Related Issues (20)
- 4.38 showing Grad_norm in log (when used with wandb) as tensors thus giving error while saving with json HOT 5
- add support for forward_params in TextClassificationPipeline HOT 4
- Weird warning when calling LlamaTokenizer.__call__
- loss return from SpeechToSpeechOutput cannot fit to Seq2SeqTrainer HOT 3
- Avoiding prompt injection using special tokens via `apply_chat_template`
- LlavaForConditionalGeneration logit values are batch size dependent. HOT 3
- OSError: You are trying to access a gated repo.
- Invalid Version Error with Packaging Library for Torch Version "2.0.0.nv23.05" HOT 1
- Facing issues with sequential long form decoding for long audio HOT 2
- Unable to trace DebertaForMaskedLM HOT 2
- Is it a BUG when check all the imports in which may not be used? HOT 1
- Unable to load xnli? HOT 1
- Whisper - get probability of detected language HOT 1
- LLaMA RoPE precision with bf16 model HOT 1
- YOLOS (and other): `NameError: name 'PartialState' is not defined` when training HOT 1
- ValueError: .to is not supported for 4-bit or 8-bit models. Please use the model as it is, since the model has already been set to the correct devices and casted to the correct dtype
- All chunks except the first one ignore `num_beams` in Whisper long-form transcription
- Incorrect no-speech probability in `WhisperNoSpeechDetection` when `language` is set and `num_beams > 1` HOT 3
- AttributeError: module 'torch' has no attribute 'xla' when using trainer for training a model HOT 2
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