Instructions to use VERSIL91/1c3701b4-7d0a-4c75-ad20-dc76160024ef with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/1c3701b4-7d0a-4c75-ad20-dc76160024ef with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceM4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "VERSIL91/1c3701b4-7d0a-4c75-ad20-dc76160024ef") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from VERSIL91/1c3701b4-7d0a-4c75-ad20-dc76160024ef: direct link, hf CLI and curl.
- Browser
- Download file 57.2 kB
-
https://huggingface.co/VERSIL91/1c3701b4-7d0a-4c75-ad20-dc76160024ef/resolve/main/adapter_model.bin
- Command line
-
hf download hf://VERSIL91/1c3701b4-7d0a-4c75-ad20-dc76160024ef/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/VERSIL91/1c3701b4-7d0a-4c75-ad20-dc76160024ef/resolve/main/adapter_model.bin
57.2 kB
- Xet hash:
- 80a70987e5da1f6171f4d867a50eb08d3c84b8ec8cded6d814f37d2e567ee3d8
- Size of remote file:
- 57.2 kB
- SHA256:
- 96e72bb22384f9a9d98424ce8e18a8119d7db5630e34c26012f232b9a9134e97
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