Instructions to use rugo/xlm-roberta-base-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rugo/xlm-roberta-base-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rugo/xlm-roberta-base-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rugo/xlm-roberta-base-finetuned") model = AutoModelForMaskedLM.from_pretrained("rugo/xlm-roberta-base-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
xml-roberta-base-finetuned
This model is a fine-tuned version of xlm-roberta-base on an legal documents dataset.
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