Instructions to use davidggphy/whisper-small-dv-second with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidggphy/whisper-small-dv-second with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="davidggphy/whisper-small-dv-second")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("davidggphy/whisper-small-dv-second") model = AutoModelForSpeechSeq2Seq.from_pretrained("davidggphy/whisper-small-dv-second", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from davidggphy/whisper-small-dv-second: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/davidggphy/whisper-small-dv-second/resolve/main/training_args.bin
- Command line
-
hf download hf://davidggphy/whisper-small-dv-second/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/davidggphy/whisper-small-dv-second/resolve/main/training_args.bin
4.22 kB
- Xet hash:
- 45a7a505aa41633008ac3bb0a34420d8f282b58bb4673d33167b0bb42e4bfca3
- Size of remote file:
- 4.22 kB
- SHA256:
- 11340dde9438e2f7aafa63b0087826a8c5ffd0a32f4c21cb546acf123f5a78ae
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