Instructions to use webbigdata/C3TR-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use webbigdata/C3TR-Adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-9b-it-bnb-4bit") model = PeftModel.from_pretrained(base_model, "webbigdata/C3TR-Adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 722d65edb78773a21078a1711f959fb4a23e90d7f65ac39f87572355936d04b7
- Size of remote file:
- 800 MB
- SHA256:
- 63574dfbad9845da5aaa22aa3344b88855f6e9ab3c33b90b2782bf8cd56bc1a7
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