Instructions to use athirorg/USS-reward-model-binary-2vs4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use athirorg/USS-reward-model-binary-2vs4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("athirorg/USS-reward-model-binary-2vs4") model = AutoModel.from_pretrained("athirorg/USS-reward-model-binary-2vs4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb967ed84b74e003c417d450a6d199f7363a4134e4660513803fb26d67982949
- Size of remote file:
- 5.39 kB
- SHA256:
- 9307b334d3c661f7cc86476730cdafafd11fccd0e7c83a88ab1c7400b9c6d4a0
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