Instructions to use isarth/test-story with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use isarth/test-story with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="isarth/test-story")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("isarth/test-story") model = AutoModelForMaskedLM.from_pretrained("isarth/test-story") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
c6ee591 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:33a1383f1ae87084355ec862f6337da3c285bbf66ae6c284203a6171cb8e5399
size 3451
|