Instructions to use SotirisLegkas/value_multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SotirisLegkas/value_multi with Transformers:
# Load model directly from transformers import AutoTokenizer, MultiHead_MultiLabel tokenizer = AutoTokenizer.from_pretrained("SotirisLegkas/value_multi") model = MultiHead_MultiLabel.from_pretrained("SotirisLegkas/value_multi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccd2906a4bedc805c8a5518cafe453ac1b76905f089ceefa85e9d9254a31ebc0
- Size of remote file:
- 17.1 MB
- SHA256:
- f811d79a8b144a901267f8d495249aa2641a0630dfbec704424931274598e885
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.