Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
Safetensors
whisper
audio
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Instructions to use openai/whisper-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/whisper-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("openai/whisper-large") model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large") - Notebooks
- Google Colab
- Kaggle
Commit ·
ed97120
1
Parent(s): e7c2018
Allow single quotes "'" and hyphens "-" (#12)
Browse files- Allow single quotes "'" and hyphens "-" (383378f0eb5b14d2fb0dc69fa74ba7243930ff35)
Co-authored-by: Sanchit Gandhi <sanchit-gandhi@users.noreply.huggingface.co>
- config.json +0 -2
config.json
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