Instructions to use Cherran/medical_phi3mini_DPO_EP2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Cherran/medical_phi3mini_DPO_EP2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/phi-3.5-mini-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Cherran/medical_phi3mini_DPO_EP2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fffb6a4b2f2a255f51960346391df6cdd3b3e27b087fb8110a6bcf529e591ddc
- Size of remote file:
- 122 MB
- SHA256:
- 7d4f09ca63ce3d48f033427c6c46f394e6d67348c18c438c86c8cde505ae0901
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.