Instructions to use Infernaught/phi_aime_n89_mcl_256_pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Infernaught/phi_aime_n89_mcl_256_pretrained 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_256_pretrained") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Infernaught/phi_aime_n89_mcl_256_pretrained: direct link, hf CLI and curl.
- Browser
- Download file 25.2 MB
-
https://huggingface.co/Infernaught/phi_aime_n89_mcl_256_pretrained/resolve/main/optimizer.pt
- Command line
-
hf download hf://Infernaught/phi_aime_n89_mcl_256_pretrained/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Infernaught/phi_aime_n89_mcl_256_pretrained/resolve/main/optimizer.pt
25.2 MB
- Xet hash:
- 12dab581ed41dc34d1aa69cee881d9585142000323a1ad1e165cbcbb8eff402a
- Size of remote file:
- 25.2 MB
- SHA256:
- 86ebb3f829b5ca5ef3dec723e02828cc377c8b3a4ae2a087fc8a049551461113
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