Instructions to use th135/medalpaca-7b_both_n1400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use th135/medalpaca-7b_both_n1400 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("medalpaca/medalpaca-7b") model = PeftModel.from_pretrained(base_model, "th135/medalpaca-7b_both_n1400") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf37f0d3e6c5f82d5c1d212a630fbed7f4536a578b54437e128e98293023f978
- Size of remote file:
- 16.8 MB
- SHA256:
- 3f9476190fc807609eb110fefbfba480805fe1ae7d058d8f592e9b6acaf83c23
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