Instructions to use Respeecher/ukrainian-data2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Respeecher/ukrainian-data2vec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Respeecher/ukrainian-data2vec")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Respeecher/ukrainian-data2vec") model = AutoModel.from_pretrained("Respeecher/ukrainian-data2vec") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b92be546b566b1a2ae59557b6a56f811a6eae87fa5fb56bad46d1e2cc04772f
- Size of remote file:
- 1.25 GB
- SHA256:
- 1e39f7cd4ab8933036a29d7f39001202ad5c2d7b9c3fc34a4bd8de4de062caa6
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