Instructions to use Ariadaikalam/Entity_extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ariadaikalam/Entity_extraction with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ariadaikalam/Entity_extraction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 9f5ca3391927846cb0a14ff426bc4f06df906b0285be8bd05ad9889247ea088e
- Size of remote file:
- 83.1 MB
- SHA256:
- 8e2f6ea39066b49176ededbbf77c366252718603e98daf201caea2d9c535e11c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.