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 training_args.bin from Samy09/test_sd: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/Samy09/test_sd/resolve/main/training_args.bin
- Command line
-
hf download hf://Samy09/test_sd/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Samy09/test_sd/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 67a1aebe9d7779e3eed9a2473da7eeb67e46f14e915c66d12472b311dfb8647e
- Size of remote file:
- 3.58 kB
- SHA256:
- 03f39c6af1af9599215e62df2a00fe1f7da3606669da711012ef76ee8d7c8095
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