Instructions to use ikerm11/gemma1b_humanizer_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ikerm11/gemma1b_humanizer_lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ikerm11/gemma1b_humanizer_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- adapter_model.safetensors +1 -1
- config.json +1 -1
- pytorch_model.bin +1 -1
adapter_model.safetensors
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config.json
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"cliprange_value": 0.2,
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"gamma": 1,
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"cliprange_value": 0.2,
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"compare_steps": 1,
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"early_stopping": false,
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"exp_name": "ipykernel_launcher",
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"gamma": 1,
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"global_backward_batch_size": 1,
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pytorch_model.bin
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