Instructions to use kuleshov-group/e2d2-owt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kuleshov-group/e2d2-owt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kuleshov-group/e2d2-owt", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kuleshov-group/e2d2-owt", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e90597d0dc3b009590155dcd926ef420e3d8ca9b74eb9d7049de658e61a5082a
- Size of remote file:
- 721 MB
- SHA256:
- 8df7888db7a44cb0677e2c210fddbf7ddba70be8b1d025992115c99d71d6d487
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