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:
- 1d044ce31a802a464f5f6fa14c44abea6589c9ae4c70810beab30ca677dd9701
- Size of remote file:
- 17.5 MB
- SHA256:
- cd1df914b205b134e52f15364524a919423b48c9056d725b45c5b89187541de0
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