Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use innovation64/whisper-tiny-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use innovation64/whisper-tiny-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="innovation64/whisper-tiny-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("innovation64/whisper-tiny-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("innovation64/whisper-tiny-dv") - Notebooks
- Google Colab
- Kaggle
Commit ·
ccb39e8
1
Parent(s): 35cff7d
Training in progress, step 500
Browse files
runs/Oct29_14-26-27_0e6bb8397fd3/events.out.tfevents.1698589676.0e6bb8397fd3.219.0
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