Instructions to use DataHammer/scidpr-question-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DataHammer/scidpr-question-encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DataHammer/scidpr-question-encoder") model = AutoModel.from_pretrained("DataHammer/scidpr-question-encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5730b0e8e95d2b66c217ae7e0b3db1ee2f361493d35b45c1afcd6919b172bd74
- Size of remote file:
- 436 MB
- SHA256:
- 9e457d2692db7d27a139fbb09f1f189497fa4b5bc4bc9937ea8c6d0d5b2fd2c0
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