Instructions to use hackergeek/gemma-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hackergeek/gemma-finetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "hackergeek/gemma-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe6a1d13cbaa7fa2db5f4946db9c7ba27161c7035a264394559524ec3e33ada6
- Size of remote file:
- 34.4 MB
- SHA256:
- b1cb80ab33f2e9d278f5a6b5054c11f17314e38ca2cff3dba78a7b6cbeb01149
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