Instructions to use Ankshi/gemme_interview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ankshi/gemme_interview with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it") model = PeftModel.from_pretrained(base_model, "Ankshi/gemme_interview") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ankshi/gemme_interview: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/Ankshi/gemme_interview/resolve/main/training_args.bin
- Command line
-
hf download hf://Ankshi/gemme_interview/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ankshi/gemme_interview/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 6f7137d9cfe58cc79de11fea4e05cd49b78077017c9516fbb4284e668887a298
- Size of remote file:
- 5.71 kB
- SHA256:
- b7391f75d88f4abb8298de489c71042190a4c08ac888d791ef431731328cc4e1
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