Instructions to use Infernaught/phi_aime_n89_mcl_1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Infernaught/phi_aime_n89_mcl_1024 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "Infernaught/phi_aime_n89_mcl_1024") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f26c0d3a2a0bbfae95fd66f91eddfec0c74cf85e0d6ea29f8bbf3593c558c80e
- Size of remote file:
- 6.2 kB
- SHA256:
- 9fbc1de9d7d84b513df83f80b8113b41507430b484e8369533a3f71a058bb6fb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.