Instructions to use kamizane/FineTuningJsonscheme3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kamizane/FineTuningJsonscheme3B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kamizane/FineTuningJsonscheme3B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 445f5508d6e2a6db6d5e9f5bc902966a9127823c0bf5d0b30d2f6e1529d86b59
- Size of remote file:
- 99.2 MB
- SHA256:
- ffb308467e014a552ae1fc3420fdda2289b7ca7b51bc40c181a1abfafb1f897e
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