Automatic Speech Recognition
Transformers
TensorBoard
ONNX
Safetensors
English
whisper
Generated from Trainer
Instructions to use antonvinny/gs3-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antonvinny/gs3-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="antonvinny/gs3-test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("antonvinny/gs3-test") model = AutoModelForSpeechSeq2Seq.from_pretrained("antonvinny/gs3-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60868e7bf2dcd606e7596a9a0830b1c4f68625045d5dcc13edd76c13a7f62ad9
- Size of remote file:
- 5.5 kB
- SHA256:
- 92839c52cc3c5a34a7775810fdfb43ae157fc3353294a7a7801e454743edf383
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