Instructions to use FacebookAI/xlm-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/xlm-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/xlm-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/xlm-roberta-large") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/xlm-roberta-large") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ac7431c364db418503eeab271c2b5fb7654f6b8ad7c8b9bb18dd5026fc5b49f
- Size of remote file:
- 2.24 GB
- SHA256:
- 1798dab29db9d3fe4193ffa091512730369bd1c1c2041de430e09394d4f57df1
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