Instructions to use kitsunea/assignment5model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kitsunea/assignment5model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kitsunea/assignment5model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73291d95595087135802f305a4fce71aa0aa1cfa92efd2b50ce40b6cc97df0a7
- Size of remote file:
- 13.6 MB
- SHA256:
- cc688775b6a3897a179a100495829cd1750e7e843861d602e51fe200cc4de856
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