Instructions to use kitsunea/assignment5trial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kitsunea/assignment5trial with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kitsunea/assignment5trial", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5921483095917ad9ece080c6acd3a5e24fa66009cc748b7d09658d331bc238c9
- Size of remote file:
- 6.16 kB
- SHA256:
- 21da33ba27dcb62bbed5a126e5e73f62a6c6837077cdd33c9b40b948e57f570b
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