Instructions to use feynman-integrals-nn/t331ZZZM-dimensionless with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use feynman-integrals-nn/t331ZZZM-dimensionless with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("feynman-integrals-nn/t331ZZZM-dimensionless", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d72c01f56093c5a091d866408917e93c391c516aaf221309e1b31d859e0e0411
- Size of remote file:
- 492 kB
- SHA256:
- 8926368a1e1e07dbae138bfbf23e19c749566810d4bfe53e78d07d292fad605b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.