Automatic Speech Recognition
Transformers
PyTorch
JAX
Safetensors
whisper
audio
hf-asr-leaderboard
Eval Results
Instructions to use openai/whisper-large-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/whisper-large-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large-v3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("openai/whisper-large-v3") model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large-v3", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Browse to upload file results in same default file, cannot upload audio file on demo page
#118
by BladedSupernova - opened
Browse to upload file results in same default file, cannot upload audio file on demo page
Help, I just wanted to test it quickly.
BladedSupernova changed discussion title from Browse o upload file results in same default file, cannot upload audio file on demo page to Browse to upload file results in same default file, cannot upload audio file on demo page