Instructions to use th135/meditron-7b_med_n900 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use th135/meditron-7b_med_n900 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("epfl-llm/meditron-7b") model = PeftModel.from_pretrained(base_model, "th135/meditron-7b_med_n900") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 895791caa6d91829c47ea7bfffb30b2b7735dfc0067b1772f4504cf6566d8b12
- Size of remote file:
- 4.73 kB
- SHA256:
- 3c0eda60e16fdcf88a3b71be5e0fc01ac4ca8d7de4d9e972755bab9b47ccff81
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