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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8148e93faec0d37adfc88f718fd1bc9a860a60eb2d1704ec60791f3a1c42cf66
- Size of remote file:
- 13.9 GB
- SHA256:
- 52d7e774ea89c4c40b3bb3b86e98f70fe7a8e9f6fdc2e39656bad195b12df1ce
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