Instructions to use hackint0sh/MD_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hackint0sh/MD_Model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "hackint0sh/MD_Model") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from hackint0sh/MD_Model: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/hackint0sh/MD_Model/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://hackint0sh/MD_Model/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/hackint0sh/MD_Model/resolve/main/adapter_model.safetensors
151 MB
- Xet hash:
- aae7d1e1cbdfe55a4cc34a70b10219ee37c6902831f8b58281357427559f5632
- Size of remote file:
- 151 MB
- SHA256:
- 665b79b6c57db06ebd101fb8ac8948ad9efc7f343c7524d0ba05bacccb086daa
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