Instructions to use Vignesh-M/whisper-jay with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vignesh-M/whisper-jay with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Vignesh-M/whisper-jay")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Vignesh-M/whisper-jay") model = AutoModelForSpeechSeq2Seq.from_pretrained("Vignesh-M/whisper-jay", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Delete tokenizer_config.json
Verified signature56ac5ca -
Delete added_tokens.json
Verified signatureb09be01 -
Upload added_tokens.json
Verified signature5b97970 -
Upload tokenizer_config.json
Verified signature2c5325e -
Training in progress, step 1000
Verified signature5b5fa20 -
Training in progress, step 500
Verified signaturea0267cb -
initial commit
Verified signature77a2c88