Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
Safetensors
whisper
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use openai/whisper-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/whisper-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openai/whisper-small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("openai/whisper-small") model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
4b5b137
1
Parent(s): 1450e63
Adding `safetensors` variant of this model (#28)
Browse files- Adding `safetensors` variant of this model (0fcaaf3998ef7d751b3c575054e200bbe1818c8d)
Co-authored-by: Nicolas Patry <Narsil@users.noreply.huggingface.co>