Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
ONNX
Safetensors
Lule Sami
whisper
audio
asr
hf-asr-leaderboard
Instructions to use NbAiLab/salmon-whisper-large-smj-lr7e-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/salmon-whisper-large-smj-lr7e-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/salmon-whisper-large-smj-lr7e-5")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLab/salmon-whisper-large-smj-lr7e-5") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLab/salmon-whisper-large-smj-lr7e-5") - Notebooks
- Google Colab
- Kaggle
Ctrl+K