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:
- 38278f9e28d8698e782b9aecc7aac3f580b3ce9cd50eae58c45334cf6a3437bd
- Size of remote file:
- 6.23 kB
- SHA256:
- 7e9ebd6abd40ae92703fb612971c161d7d12bcf0fc9fc85b6bbb1ff4e742867f
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