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:
- fb33f2b5c4a58ef6a1bd5f9c0b836db1c2b3b9c55311882e17f4f176c6e53bc6
- Size of remote file:
- 499 MB
- SHA256:
- 18dd38dcaa69deed6b282929fdcd3ad3f4f491495091d61b8e4a3d68188e49bd
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