Instructions to use stojchet/discriminator-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stojchet/discriminator-python with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stojchet/discriminator-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from stojchet/discriminator-python: direct link, hf CLI and curl.
- Browser
- Download file 3.65 MB
-
https://huggingface.co/stojchet/discriminator-python/resolve/main/model.safetensors
- Command line
-
hf download hf://stojchet/discriminator-python/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/stojchet/discriminator-python/resolve/main/model.safetensors
3.65 MB
- Xet hash:
- 59c1d1ee0b98e6c078c6ac9940db52bd1b7e4a436fd1215aba7cc3c374215939
- Size of remote file:
- 3.65 MB
- SHA256:
- 48238d9c79e49782233d978413bddaaf5dc166ffa96261a8ede7b525d46dcf1c
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