Instructions to use nambor/refpred-operators with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nambor/refpred-operators with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nambor/refpred-operators", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 108a8c78287417091dfcf09869a445add14fa8aefdbbf67a158cfa66eacfd9cf
- Size of remote file:
- 829 MB
- SHA256:
- 1c2a551f174020b654e3c88ba00533d69e9f46e58cc770953eac8ddbd3fa5896
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.