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:
- e8977e44e39310885e86a306b97b593a8f5ef10b86b340a4cf325fe84125e8a5
- Size of remote file:
- 559 Bytes
- SHA256:
- 77537d1c48266aa2491c2ca6e63fff80dd3ea7ecc2cfb4db9ed865b8f6155cac
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