Instructions to use ibm-research/re2g-ctx-encoder-fever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/re2g-ctx-encoder-fever with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("ibm-research/re2g-ctx-encoder-fever") model = DPRContextEncoder.from_pretrained("ibm-research/re2g-ctx-encoder-fever") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44e857ecc8e41984b80f915c7663ea0743062a3568d76f54fa08f8d64dce0bf4
- Size of remote file:
- 438 MB
- SHA256:
- 473ab9e743568a418cfa463f580ba0fff1aebe5930c8cb606516bb604456b2fd
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