Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
Safetensors
whisper
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use openai/whisper-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/whisper-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openai/whisper-medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("openai/whisper-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-medium") - Notebooks
- Google Colab
- Kaggle
Commit ·
ba4c731
1
Parent(s): f1457a2
Update config.json to suppress task tokens (#13)
Browse files- Update config.json to suppress task tokens (72ceac5f2f2e6e39805e7258001c40a86fe44972)
Co-authored-by: Guillaume Klein <guillaumekln@users.noreply.huggingface.co>
- config.json +2 -0
config.json
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