Instructions to use madeofajala/txgemma-9b-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-9b-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-9b-predict_LLM_Malaria_split_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3850, 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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"mean_token_accuracy": 0.9428924822807312,
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