Instructions to use gabihp30/base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gabihp30/base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gabihp30/base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 616ded9ac414f8e09c714cb8e8545afbaf43c81860a9c22ba7daa6895a27f89a
- Size of remote file:
- 881 MB
- SHA256:
- 5aa92a5cf6f7d42459e45537c150a1110609f4f41d275ea817cb87c4ba6a6fa5
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