Instructions to use AndersGiovanni/gemma-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AndersGiovanni/gemma-2b with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "AndersGiovanni/gemma-2b") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AndersGiovanni/gemma-2b: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/AndersGiovanni/gemma-2b/resolve/main/training_args.bin
- Command line
-
hf download hf://AndersGiovanni/gemma-2b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AndersGiovanni/gemma-2b/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- c5edb3cd28b6cbf9e03373894a19ec90583d96b04b3b9783a5cee3e6e3fee76b
- Size of remote file:
- 4.92 kB
- SHA256:
- bddb109ad694e5827992bd7f9eaf1f4d45c7bfcb6410d9cc25cf765516b81a4d
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