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:
- b722b1836be4ae511c0ccbe89c6c2010bd8a8adeb3a9c2b8e54b5b9fe51eaacf
- Size of remote file:
- 1.06 kB
- SHA256:
- e0f312f7dfc21d940ab17e42a9ddfcca8440bfc594bbdb7174eb9bb867dd848d
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