Instructions to use b3x0m/mt-jp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use b3x0m/mt-jp with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("b3x0m/mt-jp", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8899cef545132f7b085718481fd1dcf7e225e3f927455e481c8faeb54d9d9b58
- Size of remote file:
- 392 kB
- SHA256:
- 48136a2f79edad8e7708dc3ea58f7dfbbe0d52b8c47431cd1cf340cd8da77676
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