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