Instructions to use objects76/full-ja4-2.25sec-big-rf-250513_1713 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use objects76/full-ja4-2.25sec-big-rf-250513_1713 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("objects76/full-ja4-2.25sec-big-rf-250513_1713", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from objects76/full-ja4-2.25sec-big-rf-250513_1713: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/objects76/full-ja4-2.25sec-big-rf-250513_1713/resolve/main/training_args.bin
- Command line
-
hf download hf://objects76/full-ja4-2.25sec-big-rf-250513_1713/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/objects76/full-ja4-2.25sec-big-rf-250513_1713/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 06d2bf70874aa5055be1e1c46cc64ec521e2fe38b0f757006117e2813110398d
- Size of remote file:
- 5.37 kB
- SHA256:
- 55b8abb3da494eb075476bb672598b795dd79937575402610b96798268b31bb3
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