Instructions to use Jiqing/tiny-random-tvp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jiqing/tiny-random-tvp with Transformers:
# Load model directly from transformers import AutoProcessor, TvpForVideoGrounding processor = AutoProcessor.from_pretrained("Jiqing/tiny-random-tvp") model = TvpForVideoGrounding.from_pretrained("Jiqing/tiny-random-tvp") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1881d6a4503cb66576368ac41c620d27750c1a1090374c93e04b6a5236515265
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size 21198552
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