Instructions to use emresvd/u112 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use emresvd/u112 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("emresvd/u112", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Download model from emresvd/u112: direct link, hf CLI and curl.
- Browser
- Download file 3.95 MB
-
https://huggingface.co/emresvd/u112/resolve/main/model
- Command line
-
hf download hf://emresvd/u112/model
-
curl -L -o model https://huggingface.co/emresvd/u112/resolve/main/model
3.95 MB
- Xet hash:
- 456544f5a67865249eac1d097acbe30774995b3301bd9f18236fe2323a95bfb2
- Size of remote file:
- 3.95 MB
- SHA256:
- 4ef337c741ac646f6d5aedda49508c0167671d50dfffb9a19f929dfd7a25b6b6
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