Instructions to use sheenrooff/small_audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sheenrooff/small_audio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sheenrooff/small_audio")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sheenrooff/small_audio") model = AutoModelForSpeechSeq2Seq.from_pretrained("sheenrooff/small_audio", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sheenrooff/small_audio: direct link, hf CLI and curl.
- Browser
- Download file 3.71 kB
-
https://huggingface.co/sheenrooff/small_audio/resolve/main/training_args.bin
- Command line
-
hf download hf://sheenrooff/small_audio/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/sheenrooff/small_audio/resolve/main/training_args.bin
3.71 kB
- Xet hash:
- 2f3c1d8e3c71085b46a60d00f06671952b84c2f8b0a7f8245e715b8587cbb03f
- Size of remote file:
- 3.71 kB
- SHA256:
- eaa94fc4a30cc96fc6ce5d73dab6f46446a9637d15e8ea6bc43e952af4e5edc9
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