Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Abkhaz
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use Iskaj/hf-challenge-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Iskaj/hf-challenge-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Iskaj/hf-challenge-test")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Iskaj/hf-challenge-test") model = AutoModelForCTC.from_pretrained("Iskaj/hf-challenge-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a600c246efeb715098e45aaf7cdb69ce7accecfea3d364db8fbf2aa80cfd58f7
- Size of remote file:
- 2.99 kB
- SHA256:
- 9a1ffe9ae9d9c61e96c39ce263cc30cefdc2adafb754b068d7c76c54bebef5c3
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