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:
- de9841055272ac46d5600cf1e07a9ef8af7387644a77e073d7a5690e5b4a9729
- Size of remote file:
- 1.26 GB
- SHA256:
- ec823214908245ff2683af6894002c043de4478528058493578964b58e3d1246
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