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:
- f6b97bb066f4d29c95e1ba2de78aeb43b13c38906c60289de2237c492f72ccc1
- Size of remote file:
- 14.7 kB
- SHA256:
- fe5ffcd868c940b6d1ad41d593385d4d9ce6a7d8aef663b4505910e3434085cd
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