Instructions to use OmAlve/gemma-finetuned-tinystories with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OmAlve/gemma-finetuned-tinystories with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "OmAlve/gemma-finetuned-tinystories") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7b962833963c49a0056dc7a6251caeaf9849cc372e3c181f3686738d7afbb23
- Size of remote file:
- 4.92 kB
- SHA256:
- 2e47a92d2ff90c9fad7cd7cdec1a7553f06ef6e60249151b03c631e9ecb4e06f
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