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:
- 9e1d741e5b5f99bbf206f393668d82899b5bb2286cbe07862fcb43c8c3439b5e
- Size of remote file:
- 1.47 kB
- SHA256:
- 62c1d5eae5610d23040b5066260e0adb36e9ba130be6a04883b8857a27a2d544
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.