Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
ONNX
Safetensors
whisper
audio
asr
hf-asr-leaderboard
Instructions to use NbAiLab/nb-whisper-tiny-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-whisper-tiny-beta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/nb-whisper-tiny-beta")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLab/nb-whisper-tiny-beta") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLab/nb-whisper-tiny-beta") - Notebooks
- Google Colab
- Kaggle
Uploaded beta
Browse files
README.md
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| Model Size | Parameters | Availability |
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| tiny | 39M | [NB-Whisper Tiny (beta)](https://huggingface.co/NbAiLab/nb-whisper-tiny-beta) |
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| base | 74M | [NB-Whisper
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| small | 244M | [NB-Whisper Small (beta)](https://huggingface.co/NbAiLab/nb-whisper-small-beta) |
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| medium | 769M | [NB-Whisper Medium (beta)](https://huggingface.co/NbAiLab/nb-whisper-medium-beta) |
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| large | 1550M | [NB-Whisper Large (beta)](https://huggingface.co/NbAiLab/nb-whisper-large-beta) |
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| Model Size | Parameters | Availability |
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| 49 |
|------------|------------|--------------|
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| tiny | 39M | [NB-Whisper Tiny (beta)](https://huggingface.co/NbAiLab/nb-whisper-tiny-beta) |
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| base | 74M | [NB-Whisper Base (beta)](https://huggingface.co/NbAiLab/nb-whisper-base-beta) |
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| 52 |
| small | 244M | [NB-Whisper Small (beta)](https://huggingface.co/NbAiLab/nb-whisper-small-beta) |
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| 53 |
| medium | 769M | [NB-Whisper Medium (beta)](https://huggingface.co/NbAiLab/nb-whisper-medium-beta) |
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| 54 |
| large | 1550M | [NB-Whisper Large (beta)](https://huggingface.co/NbAiLab/nb-whisper-large-beta) |
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