Instructions to use Hugging-GK/jigsaw_binary_gemma_base_classification_head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hugging-GK/jigsaw_binary_gemma_base_classification_head with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hugging-GK/jigsaw_binary_gemma_base_classification_head", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4416503be4c6c288e53044dfedc5de6ad792b0eed97530270e550f349bcd3fdf
- Size of remote file:
- 665 MB
- SHA256:
- 937923b69a73339d0a091349973001a3c1e5d8d55cd7a073240c4116a4373814
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