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great job !!!
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when i use your train_local.py to train a model and using option 1 to get dataset(500GB),i met RuntimeError:mat1 and mat2 shapes cannot be multiplied(1x3 and 2x256).If i use option 2 to get dataset,t…
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Recently Huggingface endpoints have been released https://huggingface.co/blog/hugging-face-endpoints-on-azure
It would be great if we can host these Huggingface fine-tuned models directly hosted in A…
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Hello,
is the hugging face checkpoint (tae898/emoberta-base) trained also on the test set of the MELD dataset?
Great work, and thank you very much in advance.
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### Describe the issue
Hi, I am trying to perform the pretrain task and the files which are saved are:
and within each checkpoint folder there are only two files `config.json mm_projector.bin…
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Error:
```
-- Get HuggingFace LLaMA index LLM
Loading checkpoint shards: 100%|██████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:07
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I'm really impressed in inferencing on HuggingFace. I had run Motion Deblur task on my own CPU(i7) and got ~50s inference runtime. May I convert from pth model to onnx and get better runtime.
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### What happened + What you expected to happen
Somehow all TPU slice workers are getting the special TPU-{type}-head resource, despite the fact that it should only be going to the actual head. I'm v…
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### Feature request
I am trying to train off-line RL using decision transformer, convert to .onnx.
```
from pathlib import Path
from transformers.onnx import FeaturesManager
feature = "seq…
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When using the demo, even its supplied examples, it raises errors.