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:
- 9d834cbeffddb86350add4264b0865a1fa9ff33d847e245fe60a1ff911a8c61c
- Size of remote file:
- 4.73 kB
- SHA256:
- aad7f106758356f75d09c6bf5c289a9eb049181bff00f82d3b1127ac579b97af
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