Instructions to use adalbertojunior/energy_kl_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adalbertojunior/energy_kl_v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("adalbertojunior/energy_kl_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad711fb0127615159da53c2299cefd27e5a4a41d8c5f81603a41ac3ff1c7a1e5
- Size of remote file:
- 6.23 kB
- SHA256:
- ffd17a2f9f795428448ed2e121bbbe978dd781dda3f39b4c326c58b5b3e214f1
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