Instructions to use luciajw/trainer_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luciajw/trainer_output with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("luciajw/trainer_output", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 98
Browse files- README.md +1 -1
- adapter_config.json +4 -4
- adapter_model.safetensors +2 -2
- training_args.bin +1 -1
README.md
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model_name: trainer_output
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tags:
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licence: license
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---
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model_name: trainer_output
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tags:
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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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"down_proj",
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"gate_proj",
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"q_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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training_args.bin
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size 5841
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