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
End of training
Browse files- last-checkpoint/adapter_config.json +3 -3
- last-checkpoint/adapter_model.safetensors +1 -1
- last-checkpoint/optimizer.pt +1 -1
- last-checkpoint/rng_state_0.pth +1 -1
- last-checkpoint/rng_state_1.pth +1 -1
- last-checkpoint/scaler.pt +1 -1
- last-checkpoint/scheduler.pt +1 -1
- last-checkpoint/trainer_state.json +4 -1125
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| 5339 |
}
|
| 5340 |
],
|
| 5341 |
"logging_steps": 10,
|
|
|
|
| 5350 |
"should_evaluate": false,
|
| 5351 |
"should_log": false,
|
| 5352 |
"should_save": true,
|
| 5353 |
+
"should_training_stop": false
|
| 5354 |
},
|
| 5355 |
"attributes": {}
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