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
- Xet hash:
- cc747fb70e4b459174db163c385e558da11f401056a122579b75d26c04a725d5
- Size of remote file:
- 623 Bytes
- SHA256:
- 0f303c797c4bb05ca04f6a6303802199c83b0864549ee5072c385861f8e9d906
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