Instructions to use PersonaPO/lfm25-8b-a1b-pvlora-openness-low with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PersonaPO/lfm25-8b-a1b-pvlora-openness-low with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PersonaPO/lfm25-8b-a1b-pvlora-openness-low", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 005b94e889dad3e3ca77cd67092b9099c4f566072342caa6822395276d696cc0
- Size of remote file:
- 5.71 kB
- SHA256:
- 852fdca4cda34cd207187be4c6d781dd94fa5ee7be4a79311daccc4c20c0dd6d
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