Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
Safetensors
whisper
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use openai/whisper-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/whisper-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("openai/whisper-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-base") - Notebooks
- Google Colab
- Kaggle
Commit ·
b985d09
1
Parent(s): 267437e
Allow single quotes "'" and hyphens "-" (#4)
Browse files- Allow single quotes "'" and hyphens "-" (0953d8ba6f790ff1534c090792df9949efb99e46)
Co-authored-by: Sanchit Gandhi <sanchit-gandhi@users.noreply.huggingface.co>
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config.json
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