Instructions to use willtensora/0df264fc-91a8-4d3e-995d-be371e003f92 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use willtensora/0df264fc-91a8-4d3e-995d-be371e003f92 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/0df264fc-91a8-4d3e-995d-be371e003f92") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from willtensora/0df264fc-91a8-4d3e-995d-be371e003f92: direct link, hf CLI and curl.
- Browser
- Download file 21.4 kB
-
https://huggingface.co/willtensora/0df264fc-91a8-4d3e-995d-be371e003f92/resolve/main/adapter_model.bin
- Command line
-
hf download hf://willtensora/0df264fc-91a8-4d3e-995d-be371e003f92/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/willtensora/0df264fc-91a8-4d3e-995d-be371e003f92/resolve/main/adapter_model.bin
21.4 kB
- Xet hash:
- 1d5ece11fee6d8cb2cb52b49058425bbe312433260fb789878530e56a66a01f0
- Size of remote file:
- 21.4 kB
- SHA256:
- 8aa1360b39419f388d90ca8f08dbd88632e35497d5a8a8c740fb7053b5c7116b
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