Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
hf-asr-leaderboard
NbAiLab/NST
Generated from Trainer
Instructions to use pere/whisper-medium-NST-uf-linlr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/whisper-medium-NST-uf-linlr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pere/whisper-medium-NST-uf-linlr")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("pere/whisper-medium-NST-uf-linlr") model = AutoModelForMultimodalLM.from_pretrained("pere/whisper-medium-NST-uf-linlr") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 1 year ago
by
SFconvertbot