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:
- ebaabb9bb20855b4c74a091ab1f5bef3da9a82d5e59c21109d06502ce5e27a76
- Size of remote file:
- 4.54 kB
- SHA256:
- 383d9f4c1c6fbed55f3845e41d808e6efeaa5dc07c192c9cc5307cd5fa06ea31
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