Instructions to use weathon/review_scoring_signed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use weathon/review_scoring_signed with PEFT:
Task type is invalid.
- Transformers
How to use weathon/review_scoring_signed with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("weathon/review_scoring_signed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50a9379871df8a6f4a3a62ff878c10b986d6f11642e735c21e5b9285f3284c2e
- Size of remote file:
- 11.4 MB
- SHA256:
- ff800fee44eacd1a1c8c2f96b890ade65d722550ab6693efa8d2c368f40a5853
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.