Instructions to use alchemist69/70c79cf2-4ba3-44a0-aca8-d33a327a5455 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/70c79cf2-4ba3-44a0-aca8-d33a327a5455 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("oopsung/llama2-7b-koNqa-test-v1") model = PeftModel.from_pretrained(base_model, "alchemist69/70c79cf2-4ba3-44a0-aca8-d33a327a5455") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from alchemist69/70c79cf2-4ba3-44a0-aca8-d33a327a5455: direct link, hf CLI and curl.
- Browser
- Download file 640 MB
-
https://huggingface.co/alchemist69/70c79cf2-4ba3-44a0-aca8-d33a327a5455/resolve/main/adapter_model.bin
- Command line
-
hf download hf://alchemist69/70c79cf2-4ba3-44a0-aca8-d33a327a5455/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/alchemist69/70c79cf2-4ba3-44a0-aca8-d33a327a5455/resolve/main/adapter_model.bin
640 MB
- Xet hash:
- 3e391ba3ea9332853e8ed2c862fd4d04fdd75856bd80480565588c42f7aecc39
- Size of remote file:
- 640 MB
- SHA256:
- 1663e7b715cf0b22734c834a489ac6826f1dabbd9ebb8920b429d55c4f4a217f
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