Instructions to use chronbmm/xlm-roberta-vedic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chronbmm/xlm-roberta-vedic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chronbmm/xlm-roberta-vedic")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("chronbmm/xlm-roberta-vedic") model = AutoModel.from_pretrained("chronbmm/xlm-roberta-vedic") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
A model for Vedic Sanskrit based on XLM-RoBERTa-base. Accepts Devanagari as input.
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