Any-to-Any
Transformers
Safetensors
English
ovis_u1
text-generation
image-text-to-text
image-to-text
text-to-image
image-to-image
custom_code
Instructions to use monurcan/Ovis-U1-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monurcan/Ovis-U1-3B with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("monurcan/Ovis-U1-3B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 583 Bytes
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"crop_size": {
"height": -1,
"width": -1
},
"do_center_crop": false,
"do_convert_rgb": true,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"hidden_stride": 2,
"image_mean": [
0.48145466,
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0.40821073
],
"image_processor_type": "CLIPImageProcessor",
"image_std": [
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0.27577711
],
"max_pixels": 2408448,
"min_pixels": 200704,
"patch_size": 14,
"resample": 3,
"rescale_factor": 0.00392156862745098,
"size": {
"shortest_edge": -1
},
"temporal_patch_size": 1
}
|