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_config.json from ledigajobb/relevant_profession: direct link, hf CLI and curl.
- Browser
- Download file 451 Bytes
-
https://huggingface.co/ledigajobb/relevant_profession/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ledigajobb/relevant_profession/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ledigajobb/relevant_profession/resolve/main/tokenizer_config.json
451 Bytes
- Xet hash:
- af97cbfa668add7f3b3c6017a41a5bcf6df6fd46686211070665fcdc0542a17b
- Size of remote file:
- 451 Bytes
- SHA256:
- ae42ec38b1bce8cda1432566534c207e7bf573d4fd0178af8ae31ce8551d097c
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