Instructions to use aleegis12/3b730adc-d470-4762-b06e-90958b76b363 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/3b730adc-d470-4762-b06e-90958b76b363 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-Storm-8B") model = PeftModel.from_pretrained(base_model, "aleegis12/3b730adc-d470-4762-b06e-90958b76b363") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from aleegis12/3b730adc-d470-4762-b06e-90958b76b363: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/aleegis12/3b730adc-d470-4762-b06e-90958b76b363/resolve/main/adapter_model.bin
- Command line
-
hf download hf://aleegis12/3b730adc-d470-4762-b06e-90958b76b363/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/aleegis12/3b730adc-d470-4762-b06e-90958b76b363/resolve/main/adapter_model.bin
671 MB
- Xet hash:
- fdd255b6021e1953c3467eba8a1a95f9a2d8cc257797924940295f25f01288b2
- Size of remote file:
- 671 MB
- SHA256:
- ab9280b21e09bc06cc4c401483ff750405dd8cd10bfa7d34dcd42f7200aa674f
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