Instructions to use ledigajobb/relevant_profession with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ledigajobb/relevant_profession with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ledigajobb/relevant_profession", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af97cbfa668add7f3b3c6017a41a5bcf6df6fd46686211070665fcdc0542a17b
- Size of remote file:
- 451 Bytes
- SHA256:
- ae42ec38b1bce8cda1432566534c207e7bf573d4fd0178af8ae31ce8551d097c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.