Instructions to use snezhanata/index-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use snezhanata/index-dev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="snezhanata/index-dev", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("snezhanata/index-dev", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec0cf5c4eeafb4803645f9c29f9b33a8441b7a3ef5b7d98e2c11b288f872feea
- Size of remote file:
- 1.01 MB
- SHA256:
- 3a11626b3c80cbfdd5f4b5585fce8938d178f3a0df739c3dd1c708ce944878af
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