Instructions to use principle/lukatuning1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use principle/lukatuning1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b") model = PeftModel.from_pretrained(base_model, "principle/lukatuning1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from principle/lukatuning1: direct link, hf CLI and curl.
- Browser
- Download file 18.9 MB
-
https://huggingface.co/principle/lukatuning1/resolve/refs%2Fpr%2F1/adapter_model.bin
- Command line
-
hf download hf://principle/lukatuning1@refs/pr/1/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/principle/lukatuning1/resolve/refs%2Fpr%2F1/adapter_model.bin
18.9 MB
- Xet hash:
- 29902384bae477fbcc5fcc18af86af9aa442c9f168471166100c2e0c90937238
- Size of remote file:
- 18.9 MB
- SHA256:
- 718081aaf7b3a778d583341b393c0e79fc909c18e524bd67b92983a4954b43b4
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