Instructions to use janbakker/contextual-classifier-wikiauto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use janbakker/contextual-classifier-wikiauto with Transformers:
# Load model directly from transformers import RobertaForContextualSequenceClassification model = RobertaForContextualSequenceClassification.from_pretrained("janbakker/contextual-classifier-wikiauto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a28ddde2c55e7f36c5beef0661d940e33e602c69835cd125f0bb9c5c80d10ff4
- Size of remote file:
- 614 MB
- SHA256:
- 22dfb08b37d232634cbb4cce12e15778291cf484459b5b345248fbcd5f237964
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.