Instructions to use Respeecher/ukrainian-data2vec-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Respeecher/ukrainian-data2vec-asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Respeecher/ukrainian-data2vec-asr")# Load model directly from transformers import AutoTokenizer, AutoModelForCTC tokenizer = AutoTokenizer.from_pretrained("Respeecher/ukrainian-data2vec-asr") model = AutoModelForCTC.from_pretrained("Respeecher/ukrainian-data2vec-asr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfb1ee5fc095462ba7192784594ff252e787f1fe70d71186b234aae40b36b6f4
- Size of remote file:
- 1.25 GB
- SHA256:
- cbb84284ed7f8d8355168e83a61393465d8872e87fa4f6aeefd8f2195d2283f0
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