Instructions to use Intel/tvp-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/tvp-base with Transformers:
# Load model directly from transformers import AutoProcessor, TvpForVideoGrounding processor = AutoProcessor.from_pretrained("Intel/tvp-base") model = TvpForVideoGrounding.from_pretrained("Intel/tvp-base") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +2 -2
config.json
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"visual_prompter_type": "framepad",
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"visual_prompter_apply": "replace",
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"max_img_size": 448,
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"
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"
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"attention_probs_dropout_prob": 0.1,
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"hidden_size": 768,
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"classifier": "mlp",
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"visual_prompter_type": "framepad",
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"visual_prompter_apply": "replace",
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"max_img_size": 448,
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"visual_prompt_size": 96,
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"num_frames": 48,
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"attention_probs_dropout_prob": 0.1,
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"hidden_size": 768,
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"classifier": "mlp",
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