Automatic Speech Recognition
Transformers
Safetensors
lite-whisper
feature-extraction
audio
whisper
hf-asr-leaderboard
custom_code
Instructions to use efficient-speech/lite-whisper-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efficient-speech/lite-whisper-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="efficient-speech/lite-whisper-medium", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("efficient-speech/lite-whisper-medium", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add sample usage from GitHub README
#1
by nielsr HF Staff - opened
This PR enhances the model card by including a "Quick Start" section with a Python code snippet, directly sourced from the official GitHub README. This will make it easier for users to understand how to load and use the LiteASR model with the transformers library.