Instructions to use MCES10/code-gen-gemma-2-2b-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use MCES10/code-gen-gemma-2-2b-it with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("MCES10/code-gen-gemma-2-2b-it", set_active=True) - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
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pipeline_tag: text-generation
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tags:
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- code,
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---
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# Code Generation and Problem Solving
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==========
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Prompt: 149 tokens, 386.395 tokens-per-sec
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Generation: 460 tokens, 24.677 tokens-per-sec
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Peak memory: 5.358 GB
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pipeline_tag: text-generation
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tags:
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- code,
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library_name: adapter-transformers
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---
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# Code Generation and Problem Solving
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==========
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Prompt: 149 tokens, 386.395 tokens-per-sec
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Generation: 460 tokens, 24.677 tokens-per-sec
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Peak memory: 5.358 GB
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