Instructions to use vermoney/3977765e-3e57-4711-8d6a-d40156acdd0c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vermoney/3977765e-3e57-4711-8d6a-d40156acdd0c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "vermoney/3977765e-3e57-4711-8d6a-d40156acdd0c") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from vermoney/3977765e-3e57-4711-8d6a-d40156acdd0c: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/vermoney/3977765e-3e57-4711-8d6a-d40156acdd0c/resolve/main/adapter_model.bin
- Command line
-
hf download hf://vermoney/3977765e-3e57-4711-8d6a-d40156acdd0c/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/vermoney/3977765e-3e57-4711-8d6a-d40156acdd0c/resolve/main/adapter_model.bin
168 MB
- Xet hash:
- e1dc9c1ccbffd2956de11be0c20b4ae215dc71a8c46d13cec1712c3cbbe1c95d
- Size of remote file:
- 168 MB
- SHA256:
- 6656dc8429316e09ce9fa5126927358f8ceb1190c77cc015ad97adf5fd038249
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