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:
- 7cdf51760cfeb7b2bfaa8769140a638d89b7bb2e508391d49cd7e91b0451dfd2
- Size of remote file:
- 7.44 kB
- SHA256:
- fb33796526687fd8bfbfd4536b3e6aed69ce2b369b5663a9e8f272b783d312a9
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