Instructions to use VikramR/cypherbench-sft-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VikramR/cypherbench-sft-4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("VikramR/cypherbench-sft-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d704c092208fa93d0ae3bb3e1b528f5f8600b9bf3eaf2243bb7bd95759452fb
- Size of remote file:
- 5.71 kB
- SHA256:
- be7b87843090469fc02678c75dcfa60f0f6d1ae810443c5f8a347ba21af8b3ee
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