Instructions to use dplus02/task-17-google-gemma-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dplus02/task-17-google-gemma-2b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "dplus02/task-17-google-gemma-2b") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dplus02/task-17-google-gemma-2b: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/dplus02/task-17-google-gemma-2b/resolve/main/training_args.bin
- Command line
-
hf download hf://dplus02/task-17-google-gemma-2b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dplus02/task-17-google-gemma-2b/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- c82de0276bcb9146291488165da83d1ee1bbb7e9ad04cf4dd2accb499c703c12
- Size of remote file:
- 5.37 kB
- SHA256:
- fad37a9294433e1b14c9d28d96cea159764946bba7bacd234d7b4370f2eafe4f
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