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:
- 2c09886d119cc61f224255237fb40ff1a13682f7253eff8bfe6d225b218730e6
- Size of remote file:
- 774 MB
- SHA256:
- 79d79b132b9b5df91d024003c299e67781e78179d71f2eac1a813ceefa7eb569
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