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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e2ce134c1fb6caf1b83cc8d752650ed678f3ec3acd491e527645b3523abbf24
- Size of remote file:
- 1.56 kB
- SHA256:
- 1f6c4651e4c364b461f502a4b5d96598b0384c1eaf33678e2b842cd712025cdb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.