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:
- 1cef5524c3d55857586cb31f6558abade342827dc03e9575005539d3f7547306
- Size of remote file:
- 2.24 GB
- SHA256:
- 96d19a73ca044be7c23518d2d23154eb0a1e6fb301d3b086e2d80bdfff1391ce
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