Instructions to use DataHammer/scidpr-ctx-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DataHammer/scidpr-ctx-encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("DataHammer/scidpr-ctx-encoder") model = DPRContextEncoder.from_pretrained("DataHammer/scidpr-ctx-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d84bf0d0a60ff75e3ed9f227b3d4633a3fe83589f9a6e52e8e1979f86b5c1b7b
- Size of remote file:
- 436 MB
- SHA256:
- 29b367f26eedd5267624bd1bea161a186985aae09fbb4c59996689c35206f29b
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