Instructions to use dvdmrs09/gemma-7b-it-python2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dvdmrs09/gemma-7b-it-python2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "dvdmrs09/gemma-7b-it-python2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0ee36725662e98054ce072f33824b35d3ef95e7ffd2effb2b28b149c8239366
- Size of remote file:
- 6.78 kB
- SHA256:
- d400c16f982c36b10268ff7e69e878c44d11f5fb692a61770a8e1efb50d4491c
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