Instructions to use ThorBaller/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThorBaller/lora_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ThorBaller/lora_model")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ThorBaller/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Upload model trained with Unsloth
Browse filesUpload model trained with Unsloth 2x faster
- adapter_config.json +3 -3
adapter_config.json
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@@ -20,13 +20,13 @@
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"rank_pattern": {},
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"revision": "unsloth",
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"target_modules": [
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"gate_proj",
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"q_proj",
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"v_proj",
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"o_proj",
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"k_proj",
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"down_proj",
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": "unsloth",
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"target_modules": [
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"q_proj",
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"o_proj",
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"up_proj",
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"gate_proj",
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"k_proj",
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"down_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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