Automatic Speech Recognition
Transformers
TensorBoard
ONNX
Safetensors
English
whisper
Generated from Trainer
Instructions to use simodo79/whisper-small-vdv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simodo79/whisper-small-vdv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="simodo79/whisper-small-vdv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("simodo79/whisper-small-vdv") model = AutoModelForSpeechSeq2Seq.from_pretrained("simodo79/whisper-small-vdv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a86ef14e273276c3e8a886cede6664309a8db60da9161df28c14f99bc74a6ed
- Size of remote file:
- 5.3 kB
- SHA256:
- 396aa54394820c5e3c61610e4c7f97d4eea9707f47fcc07a59bae73ed499c19a
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