Instructions to use kdercksen/xlm-roberta-base-1024-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kdercksen/xlm-roberta-base-1024-256 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kdercksen/xlm-roberta-base-1024-256")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kdercksen/xlm-roberta-base-1024-256") model = AutoModelForMaskedLM.from_pretrained("kdercksen/xlm-roberta-base-1024-256", device_map="auto") - Notebooks
- Google Colab
- Kaggle