Instructions to use abegerho/result with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abegerho/result with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abegerho/result", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
File size: 1,671 Bytes
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"base_model_class": "Qwen3_5ForConditionalGeneration",
"parent_library": "transformers.models.qwen3_5.modeling_qwen3_5",
"unsloth_fixed": true
},
"base_model_name_or_path": "314e/dexit-VLM-Qwen3_5-Entity-test5-integration",
"bias": "none",
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"ensure_weight_tying": false,
"eva_config": null,
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"fan_in_fan_out": false,
"inference_mode": true,
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"loftq_config": {},
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"lora_bias": false,
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"megatron_config": null,
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
} |