Instructions to use JackWong0911/timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window_more_data_b4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JackWong0911/timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window_more_data_b4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, MyTimesformerForVideoClassification processor = AutoImageProcessor.from_pretrained("JackWong0911/timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window_more_data_b4") model = MyTimesformerForVideoClassification.from_pretrained("JackWong0911/timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window_more_data_b4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JackWong0911/timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window_more_data_b4: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/JackWong0911/timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window_more_data_b4/resolve/main/training_args.bin
- Command line
-
hf download hf://JackWong0911/timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window_more_data_b4/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/JackWong0911/timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window_more_data_b4/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 7d4105956d514899e1ae785ba5e086edda29e40c15764143b8635bbc77dd7bd9
- Size of remote file:
- 5.05 kB
- SHA256:
- ccce46a6f136fecd8a06ef8dfb872ee7ebced0e30732bb2ad21d488358a27a7b
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