Instructions to use kitsunea/assignment5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kitsunea/assignment5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kitsunea/assignment5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7580e98135f968007beb3fd746edda383755753d92a38c6222e0ec001ed089c2
- Size of remote file:
- 6.23 kB
- SHA256:
- 3f129aed02121ffb40a58e39bf648dff88a3db0084fe760ce410fd2767c322e2
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