Instructions to use kvjv/fourthmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kvjv/fourthmodel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/paligemma-3b-pt-224") model = PeftModel.from_pretrained(base_model, "kvjv/fourthmodel") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kvjv/fourthmodel: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/kvjv/fourthmodel/resolve/main/training_args.bin
- Command line
-
hf download hf://kvjv/fourthmodel/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kvjv/fourthmodel/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 27f2054295f45c6a5388538f19cf9d0de32f9c2560e2c029bdd7f17e1a3ee3f3
- Size of remote file:
- 5.11 kB
- SHA256:
- 43e628bed263cd97c854aefd3e79558f9c97e7db1fef3c703a422a2cc1fb8c7d
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