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
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README.md
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@@ -12,4 +12,4 @@ Here, we introduce a small-scale video reasoning model TinyLLaVA-Video-R1, based
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### Result
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| Model (HF Path) | Video-MME | MVBench | MLVU | MMVU |
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| :----------------------------------------: | ------------- | ------- | -------------- | ---------- |
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| [Zhang199/TinyLLaVA-Video-R1](https://huggingface.co/Zhang199/TinyLLaVA-Video-R1) |
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### Result
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| Model (HF Path) | Video-MME | MVBench | MLVU | MMVU |
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| :----------------------------------------: | ------------- | ------- | -------------- | ---------- |
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| [Zhang199/TinyLLaVA-Video-R1](https://huggingface.co/Zhang199/TinyLLaVA-Video-R1) | 46.6 | 49.5 | 52.4 | 46.9 |
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