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:
- d5e512a3cdfb3f0c75b94a7315b3edfce2f65e693fe031b8293a34aa1a8c8382
- Size of remote file:
- 4.54 kB
- SHA256:
- 52a3e6a5b4651d99e63e7f3d56673c5c50e3f11b9a5dc81d979bebde03de6101
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