Instructions to use kuleshov-group/e2d2-wmt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kuleshov-group/e2d2-wmt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="kuleshov-group/e2d2-wmt", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kuleshov-group/e2d2-wmt", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe513c34c6cd609863876183c6b89145f6d6ee79a748b232aaf2d14109ef8282
- Size of remote file:
- 1.02 GB
- SHA256:
- 29daae41ab012a61516d316e7cd54de035044e6c8890395ccc542ba161c07aa1
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