Instructions to use facebook/xlm-roberta-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/xlm-roberta-xl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/xlm-roberta-xl")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/xlm-roberta-xl") model = AutoModelForMaskedLM.from_pretrained("facebook/xlm-roberta-xl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82a1ae6fefb38546a49c7d4b0bb5f73a5d61771be84574cd7e03eaad4853fba1
- Size of remote file:
- 13.9 GB
- SHA256:
- c8083776f8612a9a8f8b7d5874e1a77729193ef992e74078ae4e8d0ef4b9bad6
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