Instructions to use Amiran13/wav2vec2-large-xlsr-georgian-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amiran13/wav2vec2-large-xlsr-georgian-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Amiran13/wav2vec2-large-xlsr-georgian-demo")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Amiran13/wav2vec2-large-xlsr-georgian-demo") model = AutoModelForCTC.from_pretrained("Amiran13/wav2vec2-large-xlsr-georgian-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c27734408ebdb03c875285ceaa7d8d14c21418b857db3743b8b78741d913d41c
- Size of remote file:
- 14.3 kB
- SHA256:
- 7b7a541d602df02f02b5bf8ca39f1e83e5ce9e93fefb62648b6334781173598e
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