Instructions to use ledigajobb/relevant_profession with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ledigajobb/relevant_profession with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ledigajobb/relevant_profession", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ledigajobb/relevant_profession: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/ledigajobb/relevant_profession/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://ledigajobb/relevant_profession@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ledigajobb/relevant_profession/resolve/refs%2Fpr%2F1/tokenizer.json
17.1 MB
- Xet hash:
- b6ff4ba58740b22305e54107e2446e08592dd0cd01d7e8a1959391fecdc60294
- Size of remote file:
- 17.1 MB
- SHA256:
- 64f620ed598f02c6e9ad8bd7c093e0bf1f883f0a113b315e3299ae7d1b85581a
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