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:
- 334d62e40947883a475f43181eab7e7b63d28944cc55b27c0be4aad17e92a431
- Size of remote file:
- 2.74 kB
- SHA256:
- 5c462c0f9afa32d322e8ad6608039a0afa468e9f6fa017ca4efa3177bce0b81c
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