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:
- cf3915808ee3a5e9c258b71c96e9621278e7ff81278806621838840bc77c7bb5
- Size of remote file:
- 1.73 GB
- SHA256:
- 42eba5d7c8060d980d85c8e100ec5a6d6cbf1a6b044ab784660e0405feca5323
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