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:
- a770fdde0983f904ff12690533891774fcc51b0ee240644d4082959ae46a2403
- Size of remote file:
- 9.84 MB
- SHA256:
- 0f1ec53112b20ab45be56a9b1dc32b992408d264318332fbaec1478f3d03870c
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