Instructions to use darthPanda/whisper-small-ur1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darthPanda/whisper-small-ur1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="darthPanda/whisper-small-ur1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("darthPanda/whisper-small-ur1") model = AutoModelForSpeechSeq2Seq.from_pretrained("darthPanda/whisper-small-ur1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (2f16fea35832f5c3ffb9647e528334dbbf722150) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>a75735f -
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initial commit
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