Instructions to use kvjv/firstmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kvjv/firstmodel 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/firstmodel") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kvjv/firstmodel: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/kvjv/firstmodel/resolve/main/training_args.bin
- Command line
-
hf download hf://kvjv/firstmodel/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kvjv/firstmodel/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 1fb38d1a7b9b8cf59d35d79d6f62e65c836ad6e8629dc85d249f858161f670ba
- Size of remote file:
- 5.11 kB
- SHA256:
- 46dd59c1bb3977534d4dae52e89591da67812627ce8db13734d520c300dedbb5
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