Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
Safetensors
whisper
audio
hf-asr-leaderboard
Eval Results
Instructions to use openai/whisper-large-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/whisper-large-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large-v2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("openai/whisper-large-v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large-v2") - Notebooks
- Google Colab
- Kaggle
Request: DOI
#99
by Coletomyo - opened
Hello, I finetuned on pretrained model of whisper-large-v2 Mongolian transcript, and when i compute on Huggingface, it doesn't transcribe in Mongolian language, and it does only in English. additional fact is when the finetuned finished, there is no added-tokens.json, merges.txt,tokinzer_config.json etc. and i reinstalled form the Openai/whisper-large-v2.