Instructions to use Samy09/test_sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samy09/test_sd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Samy09/test_sd")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Samy09/test_sd") model = AutoModelForCTC.from_pretrained("Samy09/test_sd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Samy09/test_sd: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/Samy09/test_sd/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Samy09/test_sd@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Samy09/test_sd/resolve/refs%2Fpr%2F1/pytorch_model.bin
378 MB
- Xet hash:
- 7f183d7437881c921ad2b3b30356f4e3d1025fbef36f73627ddb4ffcda47d496
- Size of remote file:
- 378 MB
- SHA256:
- 8b0d9b5c9dcc17659b6f760d948a338df23096882735254b07951e95178d0c85
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