Instructions to use Zhang199/TinyLLaVA-Video-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zhang199/TinyLLaVA-Video-R1 with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Zhang199/TinyLLaVA-Video-R1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2040f699845a2da4c94c38deb43e37e5183ca316a3fb8b469328f99a030227c0
- Size of remote file:
- 8.12 kB
- SHA256:
- b29d4f2c96269c1296ebf4ec1086e01ef6941295c5c5b97238d142f0e2d837ec
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