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:
- 025bacd8ec45996d7993c38d5a926928af479960f134d3dea09aca98b1e6a05b
- Size of remote file:
- 17.2 MB
- SHA256:
- b9f2ccaf7be76cfc1b402896454bc2d4d7ac109afb0127f26e19fe2a6aa4e052
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