Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
Safetensors
English
whisper
audio
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Instructions to use openai/whisper-tiny.en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/whisper-tiny.en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openai/whisper-tiny.en")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("openai/whisper-tiny.en") model = AutoModelForMultimodalLM.from_pretrained("openai/whisper-tiny.en") - Notebooks
- Google Colab
- Kaggle
Add Open ASR Leaderboard evaluation results
#27 opened 2 months ago
by
SaylorTwift
Request: DOI
#26 opened 4 months ago
by
maskedes1
Correct added token ids
#23 opened over 2 years ago
by
sanchit-gandhi
Fix timestamp tokens
#22 opened almost 3 years ago
by
sanchit-gandhi
Adding `safetensors` variant of this model
#17 opened almost 3 years ago
by
Narsil
Adding `safetensors` variant of this model
#15 opened almost 3 years ago
by
Narsil
Māori language governance & removal
👍 2
5
#12 opened over 3 years ago
by
mmitchell
Upload config
#9 opened over 3 years ago
by
ArthurZ
Update tokenizer_config.json
#8 opened over 3 years ago
by
ArthurZ
Update tokenizer_config.json
#7 opened over 3 years ago
by
ArthurZ
Question about decoder_input_ids
1
#5 opened over 3 years ago
by
SuperXXX