Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
Safetensors
English
whisper
audio
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Instructions to use openai/whisper-medium.en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/whisper-medium.en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openai/whisper-medium.en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("openai/whisper-medium.en") model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-medium.en") - Notebooks
- Google Colab
- Kaggle
WhisperTimeStampLogitsProcessor error while using Whisper pipelines happens with this model
#9
by icorbett - opened
I am seeing the error with WhisperTimeStampLogitsProcessor described here: https://github.com/huggingface/transformers/issues/22053
This appears to have been resolved for whisper-medium ( https://huggingface.co/openai/whisper-medium/discussions/12 ) but was never applied to this model.
My apologies if I am missing something, these models are all very new to me. Please let me know if I am presenting this incorrectly.