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## Environment info
- `transformers` version: HEAD detached at v4.6.1
- Platform: Docker, AWS
- Python version: Python 3.8.5
- PyTorch version (GPU?): 1.8.0
- Tensorflow version (GPU?):
- U…
yl-to updated
3 years ago
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## Environment info
- `transformers` version: 4.0.1 (also reproduced the same issue with 3.5.1)
- Platform: Google Colab
- Python version: 3.6
- PyTorch version (GPU?): 1.7.0+cu101
- Te…
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## Environment info
- `transformers` version: 4.5.5
- Platform: linux
- Python version: 3.7
- PyTorch version (GPU?): 1.8
- Tensorflow version (GPU?): -
- Using GPU in script?: -
- Using …
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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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## Environment info
- `transformers` version: 4.12.0.dev0
- Platform: Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version (GPU?): 1.9.0+cu102 (False)
- T…
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Was wondering if there was any code snippet / blog post showing how one could load their own documents and index them, so they can be used by the RAG retriever.
Cheers!
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## Environment info
- `transformers` version: 4.7.0.dev0
- Platform: Linux-5.4.0-1046-azure-x86_64-with-debian-buster-sid
- Python version: 3.6.10
- PyTorch version (GPU?): 1.8.1+cu111 (True)
…
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## Environment info
- `transformers` version: 4.0.1
- Platform: Linux-5.4.0-58-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7.1+cu110 (True)
- Tensor…
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I'm trying to reproduce RAG-Sequence NQ score of 44.5 presented in Table 1 of the paper at https://arxiv.org/abs/2005.11401.
I used the command in the examples/rag readme
```bash
python examples/…
acslk updated
3 years ago
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## Environment info
- `transformers` version: 4.3.0
- Platform: Linux
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7.1 (CUDA Version: 11.2)
- Tensorflow version (GPU?): NA
- Using GPU…