Instructions to use hermanda/ant-llm-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hermanda/ant-llm-sft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hermanda/ant-llm-sft", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77b11d724b0b8062984781b82640724bd3855efa80a974f83d6c76cb0ef068a8
- Size of remote file:
- 5.71 kB
- SHA256:
- b7270cc273c6212d59f015054ee4437905316bb92f3e3cd1616463b577c18247
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