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"params_classifier.dense.weight"
"params_classifier.dense.bias"
"params_classifier.out_proj.weight"
"params_classifier.out_proj.bias"
Could someone please brief…
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IMO the test should use `self.assertEqual` instead of `assert` here:
https://github.com/huggingface/transformers/blob/8d171628fe84bdf92ee40b5375d7265278180f14/tests/test_tokenization_deberta_v2.py#…
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It seems like the newest transformers `AutoModel` supports DeBERTa
(you can find it on AutoModel page https://huggingface.co/transformers/model_doc/auto.html#transformers.AutoModel)
The transforme…
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Hi,
I'm running Microsoft's [DeBERTa](https://github.com/microsoft/DeBERTa) in PyTorch('1.7.0') with 1 GPU only and I'm not using any [parallel or distributed training](https://pytorch.org/tutorial…
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## Environment info
- `transformers` version: 4.3.1
- Platform: Linux-5.4.0-54-generic-x86_64-with-glibc2.29
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7.1+cpu (False)
- Tensorflow v…
205g0 updated
3 years ago
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## Environment data
- Language Server version: 2021.5.2-pre.1
- OS and version: Windows
- Python version (& distribution if applicable, e.g. Anaconda): Anaconda
## Actual behavio…
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DeBERTa
[paper](https://arxiv.org/abs/2006.03654)
[code](https://github.com/microsoft/DeBERTa)
[huggingface model](https://huggingface.co/models?search=deberta)
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Here is what I ran:
```python
from transformers.hf_api import HfApi
from tqdm import tqdm
import pandas as pd
model_list = HfApi().model_list()
model_ids = [x.modelId for x in model_list]
…
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Hi Jeff:
Hope all is well. I've enjoyed working with your repo and I was looking forward to testing deberta and deberta-v2 models but unfortunately I've hit a few snags. I've had no issues with the…