Instructions to use souging/916470fe-1a07-490e-bf7c-70df29d5eb74 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/916470fe-1a07-490e-bf7c-70df29d5eb74 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-7b-it") model = PeftModel.from_pretrained(base_model, "souging/916470fe-1a07-490e-bf7c-70df29d5eb74") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ad36affcde689e1be18ebacd3395cf1cbe5179b590bb324fdde9ab8b41b6df7
- Size of remote file:
- 200 MB
- SHA256:
- 9de80777b1fe1f020e2243b0d5b9d9801a60ae8aae88bc7c265251691c1f9819
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