Instructions to use xtuner/llava-phi-3-mini-pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xtuner/llava-phi-3-mini-pretrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="xtuner/llava-phi-3-mini-pretrain")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xtuner/llava-phi-3-mini-pretrain", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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Browse files- config.json +0 -0
- iter_9742.pth +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:4f1f4aa5cac862e7430b12132ab33cd2cf8ae61526b453343e2a0ca2c89aea7d
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size 25179880
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