Instructions to use griffin/redress-clinical-hallucination-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use griffin/redress-clinical-hallucination-generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("griffin/redress-clinical-hallucination-generator") model = AutoModelForSeq2SeqLM.from_pretrained("griffin/redress-clinical-hallucination-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 250 Bytes
70c4ad3 | 1 2 3 4 5 | # redress-clinical-hallucination-generator
HuggingFace model weights for Clinical Text Hallucination Generator
[Paper Link](https://arxiv.org/abs/2204.10290#:~:text=In%20many%20real%2Dworld%20scenarios,shown%20to%20reduce%20model%20hallucinations.)
|