Instructions to use Shawon16/VideoMAE_Base_wlasl_2000_longtail_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shawon16/VideoMAE_Base_wlasl_2000_longtail_20 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Shawon16/VideoMAE_Base_wlasl_2000_longtail_20")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Shawon16/VideoMAE_Base_wlasl_2000_longtail_20") model = AutoModelForVideoClassification.from_pretrained("Shawon16/VideoMAE_Base_wlasl_2000_longtail_20", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from Shawon16/VideoMAE_Base_wlasl_2000_longtail_20: direct link, hf CLI and curl.
- Browser
- Download file 7.4 kB
-
https://huggingface.co/Shawon16/VideoMAE_Base_wlasl_2000_longtail_20/resolve/main/trainer_state.json
- Command line
-
hf download hf://Shawon16/VideoMAE_Base_wlasl_2000_longtail_20/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/Shawon16/VideoMAE_Base_wlasl_2000_longtail_20/resolve/main/trainer_state.json
7.4 kB
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