Instructions to use twanghcmut/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use twanghcmut/results with Transformers:
# Load model directly from transformers import AutoTokenizer, EnergyLLM tokenizer = AutoTokenizer.from_pretrained("twanghcmut/results") model = EnergyLLM.from_pretrained("twanghcmut/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2efc5217c050d39371a84a9a1f6fe2d1318585adb92da99ff5777ed8401acfdd
- Size of remote file:
- 5.24 kB
- SHA256:
- 518f0583a0214816170e8255490ca1b221b1b126482cb5eeb4e0da66d398f870
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