Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Instructions to use navin-kumar-j/whisper-base-en-w-pcd-10-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use navin-kumar-j/whisper-base-en-w-pcd-10-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="navin-kumar-j/whisper-base-en-w-pcd-10-4")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("navin-kumar-j/whisper-base-en-w-pcd-10-4") model = AutoModelForSpeechSeq2Seq.from_pretrained("navin-kumar-j/whisper-base-en-w-pcd-10-4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab183c85b9673b27de7ae177455a82eefd2ad99444f22cca5bc0c68012a65b6f
- Size of remote file:
- 290 MB
- SHA256:
- 02b188a1736047d61553fa081c48203e139846f0c9a2d5332e9be91b9f475552
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