Instructions to use nbroad/xlm-roberta-large-2048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/xlm-roberta-large-2048 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nbroad/xlm-roberta-large-2048")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nbroad/xlm-roberta-large-2048") model = AutoModel.from_pretrained("nbroad/xlm-roberta-large-2048") - Notebooks
- Google Colab
- Kaggle
Model Card for nbroad/xlm-roberta-large-2048
Same as xlm-roberta-large, but with position embeddings that can accommodate 2048 tokens.
See this notebook for how it was created.
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