Instructions to use kevanme/Practica1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use kevanme/Practica1 with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("kevanme/Practica1") - Notebooks
- Google Colab
- Kaggle
Download model.pkl from kevanme/Practica1: direct link, hf CLI and curl.
- Browser
- Download file 47 MB
-
https://huggingface.co/kevanme/Practica1/resolve/main/model.pkl
- Command line
-
hf download hf://kevanme/Practica1/model.pkl
-
curl -L -o model.pkl https://huggingface.co/kevanme/Practica1/resolve/main/model.pkl
47 MB
- Xet hash:
- 08833dc2f2e264bbdcca74b46a397bd0a2ba590c20b13d5fb1bf9e1dea200c10
- Size of remote file:
- 47 MB
- SHA256:
- cc6b982fefb662b49f5db2d879aa3a8bbee83dfa79ea0a0624118d6152f590c1
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