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