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:
- df9f498044a85d078230f620823ef8e38440d1a13712c6f99f3d352991ffe5c1
- Size of remote file:
- 57.2 MB
- SHA256:
- ce808d5208019a08cc904b27f303ab140b94be62b648a2ba30879978fcd0783d
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