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:
- 3c56f6aba277cb0616f1b91b155552639f7509dcef69ea9c1a851e76e82ce343
- Size of remote file:
- 5.3 kB
- SHA256:
- be5f825f8c2054f4128d390b7712381b51c9995a17815698bddc62f3cb3f3e85
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