Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
Safetensors
whisper
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use openai/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openai/whisper-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("openai/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload FlaxWhisperForConditionalGeneration
d284551
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Update generation_config.json to suppress task tokens (#11)
- Update generation_config.json to suppress task tokens (a02ea394f9cbca9b496cd8d351d0ed4c2f8edbb5) Co-authored-by: Guillaume Klein <guillaumekln@users.noreply.huggingface.co>79aace4
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Update the pad token (#9)
- Update the pad token (c81434a0bf5416d998ca052af9a59d54987341c5) Co-authored-by: Nicolas Patry <Narsil@users.noreply.huggingface.co>a8d7651
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Add Flax weights
sanchit-gandhi3025605
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change hebrew code from iw (deprecated) to he (#6)
- change hebrew code from iw (deprecated) to he (2f637251702bb9799886af508a2863d3584bbb1a) Co-authored-by: Altryne <altryne@users.noreply.huggingface.co>42189de
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Update generation_config.json
bfeb067 -
Upload config
d2f590b