Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use vadhri/whisper-tiny-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vadhri/whisper-tiny-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vadhri/whisper-tiny-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("vadhri/whisper-tiny-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("vadhri/whisper-tiny-dv") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
bacddb3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:20d5e555692e3662f1b17cdbd70a5bfbfeaab41c59685762be13deb81f1d12c2
size 5048
|