Instructions to use fivetech/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fivetech/test1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "fivetech/test1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from fivetech/test1: direct link, hf CLI and curl.
- Browser
- Download file 105 MB
-
https://huggingface.co/fivetech/test1/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://fivetech/test1/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/fivetech/test1/resolve/main/adapter_model.safetensors
105 MB
- Xet hash:
- 4f43848f40c190427cc66373d1f767fe7b4d56b85267836b513bab5f3cc9c32a
- Size of remote file:
- 105 MB
- SHA256:
- 22db7647bf30c514c31cd53290472aa6ede56260bf5acccd31b2f1309c206dc1
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