Instructions to use ruisp/whisper-small-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruisp/whisper-small-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ruisp/whisper-small-dv")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ruisp/whisper-small-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("ruisp/whisper-small-dv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ruisp/whisper-small-dv: direct link, hf CLI and curl.
- Browser
- Download file 4.14 kB
-
https://huggingface.co/ruisp/whisper-small-dv/resolve/main/training_args.bin
- Command line
-
hf download hf://ruisp/whisper-small-dv/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ruisp/whisper-small-dv/resolve/main/training_args.bin
4.14 kB
- Xet hash:
- 334d3f322751590dc7261c7488d1b1ed6d266b206bfd574b03870e1527e48f81
- Size of remote file:
- 4.14 kB
- SHA256:
- 89a94756d4849cc4424275cef3c3d3486bc66321aa036b2a1f2f8cba075ebd1f
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