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:
- bd174b5c8b522e32046fb047e253bdbbbdb37618a718c316a999e90c9a254ba2
- Size of remote file:
- 2.49 GB
- SHA256:
- 7a63c954c639d8c778919869c626900f5fc6af8d9d86dd7c0e7b37a4809e7239
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