Instructions to use healx/biomedical-dpr-ctx-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use healx/biomedical-dpr-ctx-encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("healx/biomedical-dpr-ctx-encoder") model = DPRContextEncoder.from_pretrained("healx/biomedical-dpr-ctx-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59bf536c80f6609093c0a99ff5bb30cb5d1b76ac31f6f5735e217f21e42a2e86
- Size of remote file:
- 438 MB
- SHA256:
- 54d3cfe8d5dc17998499494d95ad2caa4ba410d1e6cdebebd5f0b4d92e756e14
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