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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d70dcbb169e1a15551f2c341417fdc92b3dca8041bc6e71a11997abc4331073
- Size of remote file:
- 499 MB
- SHA256:
- 1996852eb4355fb442fcc136a3527f8f0851755d5e7d07a923b5f7cf9c5ac587
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