Instructions to use dzanbek/8054c77e-296b-4b00-9027-00a93be11f9e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dzanbek/8054c77e-296b-4b00-9027-00a93be11f9e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenBuddy/openbuddy-llama2-13b-v8.1-fp16") model = PeftModel.from_pretrained(base_model, "dzanbek/8054c77e-296b-4b00-9027-00a93be11f9e") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from dzanbek/8054c77e-296b-4b00-9027-00a93be11f9e: direct link, hf CLI and curl.
- Browser
- Download file 125 MB
-
https://huggingface.co/dzanbek/8054c77e-296b-4b00-9027-00a93be11f9e/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://dzanbek/8054c77e-296b-4b00-9027-00a93be11f9e/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/dzanbek/8054c77e-296b-4b00-9027-00a93be11f9e/resolve/main/adapter_model.safetensors
125 MB
- Xet hash:
- aa1ea29fd12c7e5881c676436ec3af4ddc3c899b18c954d82d27d1eab4dca7f6
- Size of remote file:
- 125 MB
- SHA256:
- 18b4ed7e828151e8a9fb5baddc3577eb010d4082f3d57b37515755767c65088f
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