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: 228 Bytes
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"_from_model_config": true,
"bad_words_ids": [
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32000
],
[
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],
"bos_token_id": 1,
"eos_token_id": [
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],
"pad_token_id": 0,
"transformers_version": "4.45.0"
}
|