Automatic Speech Recognition
Transformers
TensorBoard
ONNX
Safetensors
English
whisper
Generated from Trainer
Instructions to use antonvinny/whisper-tiny-gs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antonvinny/whisper-tiny-gs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="antonvinny/whisper-tiny-gs")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("antonvinny/whisper-tiny-gs") model = AutoModelForSpeechSeq2Seq.from_pretrained("antonvinny/whisper-tiny-gs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc2fdd703540f93f1cb020880e66388542fe878aab6a2d15ffe63fcc1144d815
- Size of remote file:
- 5.5 kB
- SHA256:
- 851eb3606c9312bb578f202d82ab651c8eddd155e6cbe3662d9060b62a534ea7
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