Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
ONNX
Safetensors
whisper
audio
asr
hf-asr-leaderboard
Instructions to use NbAiLabBeta/nb-whisper-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabBeta/nb-whisper-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabBeta/nb-whisper-small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabBeta/nb-whisper-small") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabBeta/nb-whisper-small") - Notebooks
- Google Colab
- Kaggle
| { | |
| "template_url": "https://raw.githubusercontent.com/NbAiLab/nb-whisper/main/template.md", | |
| "replacements": { | |
| "#Finetuned#": "", | |
| "#Size#": "Small", | |
| "#size#": "small", | |
| "#model_name#": "NbAiLabBeta/nb-whisper-small" | |
| } | |
| } | |