Image-to-Text
Transformers
Safetensors
Japanese
English
sarashina2_vision
text-generation
multimodal
ocr
document-understanding
vision-language
custom_code
Instructions to use subhash4face/sarashina2.2-ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subhash4face/sarashina2.2-ocr with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="subhash4face/sarashina2.2-ocr", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("subhash4face/sarashina2.2-ocr", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,105 Bytes
3c75782 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | {
"auto_map": {
"AutoProcessor": "processing_sarashina2_vision.Sarashina2VisionProcessor"
},
"crop_size": null,
"data_format": "channels_first",
"default_to_square": true,
"device": null,
"do_center_crop": null,
"do_convert_rgb": null,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"do_sample_frames": true,
"fps": 2,
"fps_max_frames": 64,
"fps_min_frames": 2,
"image_factor": 28,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "SiglipImageProcessor",
"image_std": [
0.5,
0.5,
0.5
],
"input_data_format": null,
"max_pixels": 2458624,
"merge_size": 2,
"num_frames": null,
"pad_size": null,
"patch_size": 14,
"processor_class": "Sarashina2VisionProcessor",
"resample": 2,
"rescale_factor": 0.00392156862745098,
"return_metadata": false,
"size": {
"height": 384,
"width": 384
},
"temporal_patch_size": 2,
"total_pixels": 2458624,
"video_max_token_num": 768,
"video_metadata": null,
"video_min_token_num": 128,
"video_processor_type": "Sarashina2VisionVideoProcessor"
}
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