Instructions to use HyperGAI/HPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HyperGAI/HPT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HyperGAI/HPT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 365f825f4d2c4721e2a6d44b3ad26c32b013c4fd2f220597a494f0ed7febec5d
- Size of remote file:
- 609 MB
- SHA256:
- d423ccbd6a035272c301b1aca7167745207625e1d9c3586411553ab8a2a0ca87
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