Instructions to use TIGER-Lab/VideoScore-Qwen2-VL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TIGER-Lab/VideoScore-Qwen2-VL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TIGER-Lab/VideoScore-Qwen2-VL")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("TIGER-Lab/VideoScore-Qwen2-VL") model = AutoModelForSequenceClassification.from_pretrained("TIGER-Lab/VideoScore-Qwen2-VL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download merges.txt from TIGER-Lab/VideoScore-Qwen2-VL: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
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https://huggingface.co/TIGER-Lab/VideoScore-Qwen2-VL/resolve/main/merges.txt
- Command line
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hf download hf://TIGER-Lab/VideoScore-Qwen2-VL/merges.txt
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curl -L -o merges.txt https://huggingface.co/TIGER-Lab/VideoScore-Qwen2-VL/resolve/main/merges.txt
1.67 MB
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