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 pytorch_model.bin from ledigajobb/relevant_profession: direct link, hf CLI and curl.
- Browser
- Download file 1.13 GB
-
https://huggingface.co/ledigajobb/relevant_profession/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ledigajobb/relevant_profession/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ledigajobb/relevant_profession/resolve/main/pytorch_model.bin
1.13 GB
- Xet hash:
- 3d1d828a3233fd9f7151a73d4db71d0b163412e98cd695754c462909c783c068
- Size of remote file:
- 1.13 GB
- SHA256:
- 5440cf3b9e01822ae211dada9d8a21cfa6254c1d080908737e8342c0fb1cd052
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