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 training_args.bin from gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71/resolve/aa33419210e95ec5e7473a3f51d2663e3d98a29f/training_args.bin
- Command line
-
hf download hf://gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71@aa33419210e95ec5e7473a3f51d2663e3d98a29f/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71/resolve/aa33419210e95ec5e7473a3f51d2663e3d98a29f/training_args.bin
6.78 kB
- Xet hash:
- 8dd11a84d956c0ac74dba079294deedc9a3515dd1e1c17a98f42257a0febe226
- Size of remote file:
- 6.78 kB
- SHA256:
- f9a6170f9ac8d380f5ca01988d51ef558c8aae6b977357fae40eeed6469601ff
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