Instructions to use arxyzan/data2vec-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arxyzan/data2vec-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="arxyzan/data2vec-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("arxyzan/data2vec-roberta-base") model = AutoModel.from_pretrained("arxyzan/data2vec-roberta-base") - Notebooks
- Google Colab
- Kaggle
Commit ·
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1
Parent(s): 68434a0
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (180d8c344ad20e6f4d7fb492ab0ddd655dd9f833)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
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