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:
- 8a7af6b58d5ba1fee02a78a2bd2683eac7540dcbc400b3d89f99cd5416b15966
- Size of remote file:
- 2.24 GB
- SHA256:
- 01e55aa45dbb9164fee19aef60007a1c91d175051c01be1fb15056cfa60f3e53
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