Instructions to use kvjv/thirdmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kvjv/thirdmodel 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/thirdmodel") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kvjv/thirdmodel: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/kvjv/thirdmodel/resolve/main/training_args.bin
- Command line
-
hf download hf://kvjv/thirdmodel/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kvjv/thirdmodel/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 623352c866bdba743f567ff254ee04422c20c07216b174ce282e1aa3304d9e60
- Size of remote file:
- 5.11 kB
- SHA256:
- 9516a0548fdee5fec97e6cfe8856b8966bb5fea11f5f30f436532735b864d8d0
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