Instructions to use YL95/copa_v_wright_CPT_mistral_file_folder_path_checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YL95/copa_v_wright_CPT_mistral_file_folder_path_checkpoint with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("YL95/copa_v_wright_CPT_mistral_file_folder_path_checkpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
training state at step 100
Browse files- trainer_state.json +78 -3
trainer_state.json
CHANGED
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{
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"best_metric": null,
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"epoch": 1.
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"eval_steps": 1,
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"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_samples_per_second": 1.098,
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"eval_steps_per_second": 0.549,
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"step": 94
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