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
Update README.md
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README.md
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# モデルカード(Model Card for Model ID)
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C3TR-AdapterはGoogleが発表したLLMであるgemma-
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C3TR-Adapter is a QLoRA Adapter that improves the Japanese-English and English-Japanese translation performance of gemma-
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## モデル詳細(Model Details)
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# モデルカード(Model Card for Model ID)
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C3TR-AdapterはGoogleが発表したLLMであるgemma-2-9bの日英・英日翻訳性能を向上させるQLoRA Adapterです。
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C3TR-Adapter is a QLoRA Adapter that improves the Japanese-English and English-Japanese translation performance of gemma-2-9b released by Google.
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## モデル詳細(Model Details)
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