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