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
Kevin Ripper commited on
Commit ·
0d28f07
1
Parent(s): 424dfc6
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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