Instructions to use YIIB/loom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- AllenNLP
How to use YIIB/loom with AllenNLP:
import allennlp_models from allennlp.predictors.predictor import Predictor predictor = Predictor.from_path("hf://YIIB/loom") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68229b986667789462746aa840198fe1fa8f0db195a42c96d22d6570139866db
- Size of remote file:
- 1.48 MB
- SHA256:
- 277cdaa9e7a1d309336fd65159cc45d9639a040a6999b551999955c70be827a4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.