Instructions to use 2nzi/videomae-surf-analytics-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 2nzi/videomae-surf-analytics-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="2nzi/videomae-surf-analytics-v4")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("2nzi/videomae-surf-analytics-v4") model = AutoModelForVideoClassification.from_pretrained("2nzi/videomae-surf-analytics-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download all_results.json from 2nzi/videomae-surf-analytics-v4: direct link, hf CLI and curl.
- Browser
- Download file 115 Bytes
-
https://huggingface.co/2nzi/videomae-surf-analytics-v4/resolve/main/all_results.json
- Command line
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hf download hf://2nzi/videomae-surf-analytics-v4/all_results.json
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curl -L -o all_results.json https://huggingface.co/2nzi/videomae-surf-analytics-v4/resolve/main/all_results.json
115 Bytes
| { | |
| "eval_accuracy": 0.9180327868852459, | |
| "eval_f1": 0.9178693897416935, | |
| "eval_loss": 0.5277688503265381 | |
| } |