Instructions to use ghazishazan/VideoMolmo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghazishazan/VideoMolmo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="ghazishazan/VideoMolmo", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("ghazishazan/VideoMolmo", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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[**Paper**] –https://arxiv.org/abs/2506.05336
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[**Demo**] – *Coming Soon*
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[**Dataset & Benchmark (VPoS-Bench)**] –
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[**Paper**] –https://arxiv.org/abs/2506.05336
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[**Demo**] – *Coming Soon*
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[**Dataset & Benchmark (VPoS-Bench)**] –https://huggingface.co/datasets/ghazishazan/VPoS/tree/main
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