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
Upload tokenizer.json
#28
by ArthurZ HF Staff - opened
No description provided.
ArthurZ changed pull request status to merged
Per IANA registry, iw was deprecated as the code for Hebrew in 1989 and the preferred code is he
Original PR was merged into whisper here - https://github.com/openai/whisper/pull/401
HuggingFace transformers PR here - https://github.com/huggingface/transformers/pull/21310
The correct subtag:
%%
Type: language
Subtag: he
Description: Hebrew
Added: 2005-10-16
Suppress-Script: Hebr
%%
And the deprecation
%%
Type: language
Subtag: iw
Description: Hebrew
Added: 2005-10-16
Deprecated: 1989-01-01
Preferred-Value: he
Suppress-Script: Hebr
%%