Instructions to use cvoffer/8bc398ee-68ba-4918-bc14-9f261a0776d4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cvoffer/8bc398ee-68ba-4918-bc14-9f261a0776d4 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, "cvoffer/8bc398ee-68ba-4918-bc14-9f261a0776d4") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from cvoffer/8bc398ee-68ba-4918-bc14-9f261a0776d4: direct link, hf CLI and curl.
- Browser
- Download file 32.6 kB
-
https://huggingface.co/cvoffer/8bc398ee-68ba-4918-bc14-9f261a0776d4/resolve/main/adapter_model.bin
- Command line
-
hf download hf://cvoffer/8bc398ee-68ba-4918-bc14-9f261a0776d4/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/cvoffer/8bc398ee-68ba-4918-bc14-9f261a0776d4/resolve/main/adapter_model.bin
32.6 kB
- Xet hash:
- cf616d39cc6eedae3fb1b2d05abc597134ee08ce3c3d1411e3f024425ef0c309
- Size of remote file:
- 32.6 kB
- SHA256:
- 5826e96570b1fd6e5279e11876019ae99e3d2549f36baa8603aca5903612444f
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