Video-Text-to-Text
Transformers
Safetensors
English
idefics2
text-classification
text-generation-inference
Instructions to use TIGER-Lab/VideoScore-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TIGER-Lab/VideoScore-v1.1 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("TIGER-Lab/VideoScore-v1.1") model = AutoModelForSequenceClassification.from_pretrained("TIGER-Lab/VideoScore-v1.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 68 Bytes
d2e2de2 | 1 2 3 4 5 | {
"image_seq_len": 64,
"processor_class": "Idefics2Processor"
}
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