Instructions to use StoriesLM/StoriesLM-v1-1948 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StoriesLM/StoriesLM-v1-1948 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="StoriesLM/StoriesLM-v1-1948")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("StoriesLM/StoriesLM-v1-1948") model = AutoModelForMaskedLM.from_pretrained("StoriesLM/StoriesLM-v1-1948", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K