Instructions to use EPINOIALabs/ob-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EPINOIALabs/ob-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EPINOIALabs/ob-lora", 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
preprocessor_config.json
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"do_center_crop": null,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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"max_pixels": 12845056,
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"merge_size": 2,
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"min_pixels": 3136,
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"patch_size": 14,
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"processor_class": "Qwen2_5_VLProcessor",
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"resample": 3,
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"do_center_crop": null,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_pad": null,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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"max_pixels": 12845056,
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"merge_size": 2,
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"min_pixels": 3136,
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"pad_size": null,
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"patch_size": 14,
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"processor_class": "Qwen2_5_VLProcessor",
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"resample": 3,
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video_preprocessor_config.json
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"min_frames": 4,
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"min_pixels": 3136,
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"num_frames": null,
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"patch_size": 14,
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"processor_class": "Qwen2_5_VLProcessor",
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"resample": 3,
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"min_frames": 4,
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"min_pixels": 3136,
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"num_frames": null,
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"pad_size": null,
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"patch_size": 14,
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"processor_class": "Qwen2_5_VLProcessor",
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"resample": 3,
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