Instructions to use ibm-research/re2g-generation-nq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/re2g-generation-nq with Transformers:
# Load model directly from transformers import AutoTokenizer, RagTokenForGeneration tokenizer = AutoTokenizer.from_pretrained("ibm-research/re2g-generation-nq") model = RagTokenForGeneration.from_pretrained("ibm-research/re2g-generation-nq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6da1b838771d60f1b53fc3165ad740130c6b683f693fe5ecad6a02f213827fd5
- Size of remote file:
- 1.63 GB
- SHA256:
- a44fe3887f9853941d6f8a40a268840e1ad8c3cc71eb0531c4e33dad424308b8
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