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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, TvpForVideoGrounding processor = AutoProcessor.from_pretrained("Intel/tvp-base") model = TvpForVideoGrounding.from_pretrained("Intel/tvp-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature22c974b -
Update README.md
Verified signaturee9b8d28 -
Enriching model card for improved discoverability and consumption (#1)
Verified signature- Enriching model card for improved discoverability and consumption (51af3ebcce9efc05f8e775001ccfe874f6157a1e)9351e9f
-
Upload pytorch_model.bin
ead7ef1
-
Update config.json
dbb26a0
-
Update README.md
7448d65 -
Upload pytorch_model.bin
4b6eacc -
Update config.json
fa5cfaf
-
Upload pytorch_model.bin
7da0447
-
Upload 2 files
998b64e
-
Update README.md
da66119
-
Upload 2 files
45d8577
-
Update preprocessor_config.json
e5fbb34 -
Update preprocessor_config.json
9616639 -
Update config.json
bb6d1cf
-
Upload 2 files
9b6ebe4
-
Update README.md
8bd9260 -
Update README.md
ac4aaf5 -
Update README.md
4f1a196
-
Update README.md
311229b
-
Update README.md
d503134 -
Update README.md
6be402c
-
Update README.md
963e121 -
Update README.md
cd32d7b
-
Upload 5 files
TVP model for temporal video groundinga78e902 -
initial commit
ac550ec