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## Environment info
- `transformers` version: 3.0.2
- Platform: Google Colab
- Python version: 3.6
- PyTorch version (GPU?):1.6.0+cu101
- Tensorflow version (GPU?): 2.3.0
- Using GPU i…
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## Environment info
- `transformers` version: master (4.4.0dev0)
- Platform: Google colab
- Python version: 3.7
- PyTorch version (GPU?): None
- Tensorflow version (GPU?): 2.4
- Using GPU in…
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The problem is that GPU memory allocated accumulates for each run. This eventually results in a `RuntimeError: CUDA out of memory` error. You can see the wandb GPU memory allocated, produced by the co…
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Hi there,
I am not able to reasonable numbers with XLM models ("xlm-roberta-base" "xlm-roberta-large") when I test them on [multiple choice questions](https://github.com/huggingface/transformers/t…
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## Environment info
- `transformers` version: 4.1.1
- Platform: Linux-4.4.0-62-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (G…
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## Environment info
- `transformers` version: 4.3.2
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.7.0+cu101 (True)
- Tensorfl…
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Hi!
I want to use a community-contributed pre-trained BERT model [PubMedBERT](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on biomedical literature.
I ra…
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This is not urgent. There is a ton of deprecation warnings across many modules with pytorch-1.7+ and a few with python-3.8:
(I hard-wrapped the lines to avoid the need to scroll, but it makes somewha…
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**Environment**
Google Colab. Installed the '4.5.0.dev0' version of transformers by `!pip install git+https://github.com/huggingface/transformers
`
**Issues**
Hi guys, I tried to fine-tune R…
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## Environment info
- `transformers` version: 4.3.2
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.7.0+cu101 (True)
- Tensorfl…