Instructions to use addy0606/cognitive-offloading with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addy0606/cognitive-offloading with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("addy0606/cognitive-offloading", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download classifier_v1/head.pth from addy0606/cognitive-offloading: direct link, hf CLI and curl.
- Browser
- Download file 857 kB
-
https://huggingface.co/addy0606/cognitive-offloading/resolve/main/classifier_v1/head.pth
- Command line
-
hf download hf://addy0606/cognitive-offloading/classifier_v1/head.pth
-
curl -L -o head.pth https://huggingface.co/addy0606/cognitive-offloading/resolve/main/classifier_v1/head.pth
857 kB
- Xet hash:
- 34229c829b9782e88eb24fbbe7227a4377ad6daffa1dc4bd8fb7a36946c19093
- Size of remote file:
- 857 kB
- SHA256:
- 21854e1ef262d9022950fd8e5c1451addabde3eb79712abdee0d039e3b88e9e2
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