Instructions to use chauhoang/d56f0e1d-be3b-45bf-b1a1-d69c0cf4e5b9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/d56f0e1d-be3b-45bf-b1a1-d69c0cf4e5b9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "chauhoang/d56f0e1d-be3b-45bf-b1a1-d69c0cf4e5b9") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from chauhoang/d56f0e1d-be3b-45bf-b1a1-d69c0cf4e5b9: direct link, hf CLI and curl.
- Browser
- Download file 14.4 kB
-
https://huggingface.co/chauhoang/d56f0e1d-be3b-45bf-b1a1-d69c0cf4e5b9/resolve/main/adapter_model.bin
- Command line
-
hf download hf://chauhoang/d56f0e1d-be3b-45bf-b1a1-d69c0cf4e5b9/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/chauhoang/d56f0e1d-be3b-45bf-b1a1-d69c0cf4e5b9/resolve/main/adapter_model.bin
14.4 kB
- Xet hash:
- 97cc1b626e117770748b9d653f79d7993e957c64d7e8d724750f033ac18680ca
- Size of remote file:
- 14.4 kB
- SHA256:
- 71b52bc6d1e24e1fcd547bf4de85b1f1ffa56a8a196476e077c56adac8d364f9
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