Instructions to use kvjv/seventhmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kvjv/seventhmodel 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/seventhmodel") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kvjv/seventhmodel: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/kvjv/seventhmodel/resolve/main/training_args.bin
- Command line
-
hf download hf://kvjv/seventhmodel/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kvjv/seventhmodel/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- b8ccf8612280412e9aaedbb9a3d33a705f1694133ccb252fc1e03bac74d1317a
- Size of remote file:
- 5.11 kB
- SHA256:
- 12bd59d0107e5ff1ea780adb575d8fe39a9724adea289fc5daeb84e1cd00c474
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