Instructions to use FacebookAI/xlm-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/xlm-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/xlm-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/xlm-roberta-base") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/xlm-roberta-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85bf81f8744413d5fb10798823eae28859e6a808548d006b4ab029c37c2d5220
- Size of remote file:
- 1.12 GB
- SHA256:
- 9d83baaafea92d36de26002c8135a427d55ee6fdc4faaa6e400be4c47724a07e
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