Instructions to use FoundationVision/unitok_mllm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FoundationVision/unitok_mllm with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("FoundationVision/unitok_mllm", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 300ea827d135cad494bf7c258acb7da2a1effd3d0f3e67d663446678371140af
- Size of remote file:
- 7.03 kB
- SHA256:
- 7aa6a3d0627983f752ee287f95e5e9c260a038999772b073ce3e7220b4d50125
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