Instructions to use uripper/HESS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uripper/HESS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="uripper/HESS")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("uripper/HESS") model = AutoModelForMaskedLM.from_pretrained("uripper/HESS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cda89b12c9145682b8ba921e88740ba1c484b3b8136352822634ee0ede3fe8d
- Size of remote file:
- 2.67 kB
- SHA256:
- 2a646b2d215a1f9502f60ed1f4320cf358e9829a49078edc31f620dce27a43b9
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