Comments (3)
@nbertagnolli nice idea! Feel free to open a draft PR if you'd like adding it to the callbacks :)
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I'll get started on that! Thanks for the encouragement : )
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Related Issues (20)
- Is there any way to update the parameters of embedding model? HOT 2
- A bug that may cause device inconsistency HOT 4
- Gemma 2 Inference with BF16 fails HOT 5
- cuda device is wrongly requested instead of xpu running pipeline(device_map="auto", max_memory": {0: 1.0e+10}) HOT 5
- Incorrect Whisper long-form decoding timestamps HOT 4
- Very different output depending on whether an attention mask is passed when using caching HOT 3
- `last_hidden_state` has a different shape than `hidden_states[-1]` in the output of `SeamlessM4Tv2SpeechEncoder` if adapter layers are present HOT 1
- [GroundingDino] - GroundingDinoProcessor kwargs is Broken HOT 2
- Flash Attention with Gemma 2 HOT 5
- FX tracer doen't work when requesting non-default input argument HOT 2
- Keep Tuple of past key values as an option HOT 9
- How to manually stop the LLM output? HOT 2
- Pipeline's "num_return_sequences" > greater than 1 causes a runtime error with Gemma-2-9B. HOT 6
- WavLM returns empty hidden states when loaded directly to GPU HOT 1
- "TypeError: Object of type device is not JSON serializable" when saving the model on TPU HOT 6
- Add Depth Anything v2 metric depth HOT 2
- `attention_mask` must be in the same device as model? HOT 1
- `Gemma2Model` not returning cache HOT 8
- the attention output from llama2 generate differs from other llama models HOT 3
- Whisper + Torch.Compile: torch._dynamo.exc.Unsupported: reconstruct: UserDefinedObjectVariable(EncoderDecoderCache) HOT 6
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