Instructions to use suproteem/StoriesLM-v2-2017 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suproteem/StoriesLM-v2-2017 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="suproteem/StoriesLM-v2-2017")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("suproteem/StoriesLM-v2-2017") model = AutoModelForMaskedLM.from_pretrained("suproteem/StoriesLM-v2-2017") - Notebooks
- Google Colab
- Kaggle
Ctrl+K