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 training_args.bin from ledigajobb/relevant_profession: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/ledigajobb/relevant_profession/resolve/main/training_args.bin
- Command line
-
hf download hf://ledigajobb/relevant_profession/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ledigajobb/relevant_profession/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- a7ea658ef47343399d07f72e4f5b7cd9e5a57f1d03c339b8eac2c97d4710c74d
- Size of remote file:
- 3.77 kB
- SHA256:
- 201430e166d33187dfc3bf120ac476cc5378dab74521455f85a08559d81e8209
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