Instructions to use jlvdoorn/whisper-large-v3-atco2-asr-atcosim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jlvdoorn/whisper-large-v3-atco2-asr-atcosim with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jlvdoorn/whisper-large-v3-atco2-asr-atcosim")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("jlvdoorn/whisper-large-v3-atco2-asr-atcosim") model = AutoModelForSpeechSeq2Seq.from_pretrained("jlvdoorn/whisper-large-v3-atco2-asr-atcosim", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload 4 files
f860cc6