Instructions to use mbzuai-ugrip-statement-tuning/XLMR-MLC_XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbzuai-ugrip-statement-tuning/XLMR-MLC_XL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mbzuai-ugrip-statement-tuning/XLMR-MLC_XL")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mbzuai-ugrip-statement-tuning/XLMR-MLC_XL") model = AutoModel.from_pretrained("mbzuai-ugrip-statement-tuning/XLMR-MLC_XL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K