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:
- 93c5ca39cf3578fd11a38fd508f724ef05862709100bc53e2ffeedd04f08de39
- Size of remote file:
- 1.11 GB
- SHA256:
- 311b6941e02128b01c6a429f55b47b351a86fe53e6802774d87696bcbc465992
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