Instructions to use shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/workspace/input_data/Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe/resolve/0df9d2af9e910fb0ef4d5c4605c8ccc8468459f2/adapter_model.bin
- Command line
-
hf download hf://shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe@0df9d2af9e910fb0ef4d5c4605c8ccc8468459f2/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe/resolve/0df9d2af9e910fb0ef4d5c4605c8ccc8468459f2/adapter_model.bin
336 MB
- Xet hash:
- f437b76c341cfe089ecfe871801fd43399d78f2d091ac73f3de3bb34bbb9f9bf
- Size of remote file:
- 336 MB
- SHA256:
- c23420e5769b4b0bafd8cd1d8334f371e5da29d98633eaae60f936bdb6737d0a
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