Instructions to use sujalgawas/codegemma-2b-code-reviewer_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sujalgawas/codegemma-2b-code-reviewer_V1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sujalgawas/codegemma-2b-code-reviewer_V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5000
Browse files- README.md +1 -1
- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
README.md
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model_name: codegemma-2b-code-reviewer_V1
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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---
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model_name: codegemma-2b-code-reviewer_V1
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tags:
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- generated_from_trainer
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- sft
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licence: license
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---
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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