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