Instructions to use gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71: direct link, hf CLI and curl.
- Browser
- Download file 83.1 MB
-
https://huggingface.co/gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71/resolve/main/last-checkpoint/adapter_model.safetensors
83.1 MB
- Xet hash:
- f381e71f959aa25a527a20da83700417087a2254b6ffc2fccff3c44212f49256
- Size of remote file:
- 83.1 MB
- SHA256:
- bfc605ca010ddf9be2cd0c0b3694da4a0b68e27e749e2b5eae9785f6c803bf20
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