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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a55d74bb77592c07a8a2b0e73a51c5314e5ad91940da67354361a17b3837ddc6
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size 1253154312
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