Instructions to use willtensora/80b2c119-925d-422a-a873-598a02ab8698 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use willtensora/80b2c119-925d-422a-a873-598a02ab8698 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "willtensora/80b2c119-925d-422a-a873-598a02ab8698") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from willtensora/80b2c119-925d-422a-a873-598a02ab8698: direct link, hf CLI and curl.
- Browser
- Download file 21.4 kB
-
https://huggingface.co/willtensora/80b2c119-925d-422a-a873-598a02ab8698/resolve/main/adapter_model.bin
- Command line
-
hf download hf://willtensora/80b2c119-925d-422a-a873-598a02ab8698/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/willtensora/80b2c119-925d-422a-a873-598a02ab8698/resolve/main/adapter_model.bin
21.4 kB
- Xet hash:
- a7d3d70519b6d910a7d34e7679593ad2ebe85e50de04321ae98c721b915d2d83
- Size of remote file:
- 21.4 kB
- SHA256:
- 850e88e41d02210b046d59d2058eb636f7ba7f33d01fc0eedce89cc54e99ed8d
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