Instructions to use madeofajala/txgemma-2b-predict_LLM_Malaria_split_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use madeofajala/txgemma-2b-predict_LLM_Malaria_split_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("madeofajala/txgemma-2b-predict_LLM_Malaria_split_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2975, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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last-checkpoint/optimizer.pt
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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"epoch": 0.
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"is_world_process_zero": true,
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"mean_token_accuracy": 0.9455317616462707,
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"logging_steps": 25,
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"epoch": 0.9016517654190028,
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"global_step": 2975,
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"is_world_process_zero": true,
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| 1188 |
"mean_token_accuracy": 0.9455317616462707,
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"logging_steps": 25,
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"attributes": {}
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"total_flos": 6.499001694578278e+16,
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"train_batch_size": 2,
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