Instructions to use hiwden00/tiny-en-resampling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiwden00/tiny-en-resampling with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hiwden00/tiny-en-resampling")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hiwden00/tiny-en-resampling") model = AutoModelForSpeechSeq2Seq.from_pretrained("hiwden00/tiny-en-resampling", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hiwden00/tiny-en-resampling: direct link, hf CLI and curl.
- Browser
- Download file 4.41 kB
-
https://huggingface.co/hiwden00/tiny-en-resampling/resolve/main/training_args.bin
- Command line
-
hf download hf://hiwden00/tiny-en-resampling/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hiwden00/tiny-en-resampling/resolve/main/training_args.bin
4.41 kB
- Xet hash:
- 1fb1499aa4100d65dc2d426d535fe17bd504c1c178549e749e1919d61e3005c6
- Size of remote file:
- 4.41 kB
- SHA256:
- 92686fa76f8b7bb37ff68ebed4a87e661dec45575efa3d5213bfb810cb659442
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