Instructions to use PeterV09/llava-1.6-2sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeterV09/llava-1.6-2sft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PeterV09/llava-1.6-2sft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9aa61727954a4581920076ab7196e7d36735d0224f175d1fccfa2263df9c22e
- Size of remote file:
- 7.16 kB
- SHA256:
- c8d86eccd6b02305a69b882f0dfe9a7cebaf4cfe76746aa932e9d079538a98ba
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