Instructions to use alchemist69/8ddc7444-4f06-486b-add5-be695ba775a1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/8ddc7444-4f06-486b-add5-be695ba775a1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama_v1.1") model = PeftModel.from_pretrained(base_model, "alchemist69/8ddc7444-4f06-486b-add5-be695ba775a1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from alchemist69/8ddc7444-4f06-486b-add5-be695ba775a1: direct link, hf CLI and curl.
- Browser
- Download file 202 MB
-
https://huggingface.co/alchemist69/8ddc7444-4f06-486b-add5-be695ba775a1/resolve/main/adapter_model.bin
- Command line
-
hf download hf://alchemist69/8ddc7444-4f06-486b-add5-be695ba775a1/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/alchemist69/8ddc7444-4f06-486b-add5-be695ba775a1/resolve/main/adapter_model.bin
202 MB
- Xet hash:
- 990fc4e1f1be2e9be0fe3e1cbf45ad631ba922ecfda95161028024f31280b533
- Size of remote file:
- 202 MB
- SHA256:
- 36cd1fe44fef616d050de5a824cc961e8d9bb5802afda40ecb9d4d7181f1e6b7
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