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
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README.md
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### モデルの動かし方(How to use Model)
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自分のパソコンで動かす場合は、少なくとも約8.3GB以上のGPU RAMが必要です。GPUメモリが足りない場合は上記のgguf版を
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If you want to run it on your own local computer, you will need at least approximately 8.3 GB or more of GPU RAM.If you do not have enough GPU memory, try the gguf version above.
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必要なライブラリのインストール(Installation of required libraries)
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```
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### モデルの動かし方(How to use Model)
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自分のパソコンで動かす場合は、少なくとも約8.3GB以上のGPU RAMが必要です。GPUメモリが足りない場合は上記のgguf版を試すか、パラメーターを調整してください(max_length、max_new_tokensを減らす)
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If you want to run it on your own local computer, you will need at least approximately 8.3 GB or more of GPU RAM.If you do not have enough GPU memory, try the gguf version above or decrease parameters(max_length、max_new_tokens).
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必要なライブラリのインストール(Installation of required libraries)
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```
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