Instructions to use aleegis/01af4054-eff3-4750-9907-acf71c5d8fec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis/01af4054-eff3-4750-9907-acf71c5d8fec with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("sethuiyer/Medichat-Llama3-8B") model = PeftModel.from_pretrained(base_model, "aleegis/01af4054-eff3-4750-9907-acf71c5d8fec") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25af4705aab10de9bcba25dc8d2b1a6da64b4fda7afa18cdba59f16d80bf0bf1
- Size of remote file:
- 14.6 kB
- SHA256:
- 00df7897a1fc6c054036bcebad4f3efec8761e2e58635a805d2ef197e09b731c
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