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I encountered an issue when trying to export the facebook/m2m100_418M model using the optimum-cli tool. The error message indicates that the m2m-100-encoder is not supported, despite m2m-100 being lis…
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### Describe the issue
### Context
I encountered an error while attempting to convert a Microsoft Phi3 model to ONNX format using Python and the Transformers library. The conversion process fails wi…
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### 🐛 Describe the bug
Timm_models has some models failed on accuracy check, the detail model list can be found as below table.
precision | mode | model
-- | -- | --
bfloat16 | inference | eca_b…
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Getting below error while loading "all-mpnet-base-v2"
`KeyError: "mpnet is not supported yet. Only ['albert', 'bart', 'beit', 'bert', 'big-bird', 'bigbird-pegasus', 'blenderbot', 'blenderbot-small'…
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add support for sentence-transformers/all-mpnet-base-v2
```
INFO:fast_sentence_transformers.FastSentenceTransformer:Load pretrained SentenceTransformer: cache/all-mpnet-base-v2
ERROR:MyModelV2:An…
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### Accuracy check results of `timm` models based on triton 3.0.0 (6 test scenarios in total)
Test mode: `inference` and `training`
Test datatype: `amp_bf16` `amp_fp16` `float32`
#### This issue …
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Thank you for the good paper.
I'm interested in your work, so I want to check the multi-task learning side, so I'm leaving an issue.
I have two questions.
1. Multi-task learning training
1) If…
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**ISSUE TRANSFER: Optimum repository -> https://github.com/huggingface/optimum/issues/555**
This issue is about the working group specially created for this task. If you are interested in helping o…
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### Model description
Hi,
I would love to use MobileViTV2 in my application. I am definitely not an expert, but it seems that its architecture is pretty similar to MobileViT, so adding it seems fa…
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### Context
Worked in phi-3, model id from hugging face: **microsoft/Phi-3-mini-128k-instruct**.
opevino-version: 2024.3.0-15583-df6a25800d3
i'm using transformers: **transformers 4.39.3**
bel…