Instructions to use L1mbo/videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-ucf101-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use L1mbo/videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-ucf101-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="L1mbo/videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-ucf101-subset")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("L1mbo/videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-ucf101-subset") model = AutoModelForVideoClassification.from_pretrained("L1mbo/videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-ucf101-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-ucf101-subset / training_args.bin
Download training_args.bin from L1mbo/videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-ucf101-subset: direct link, hf CLI and curl.
- Browser
- Download file 3.63 kB
-
https://huggingface.co/L1mbo/videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-ucf101-subset/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://L1mbo/videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-ucf101-subset@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/L1mbo/videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-ucf101-subset/resolve/refs%2Fpr%2F1/training_args.bin
3.63 kB
- Xet hash:
- 8a2f67537f92e21d8a8af43fa674741db6416886aca4b013748b594097d71bcc
- Size of remote file:
- 3.63 kB
- SHA256:
- 3e6db6795acad13c71e11f4c8209d9e6baa8186c647ce5e250a9784355fdc9e9
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