Instructions to use anyforge/anyparse-models-hub with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anyforge/anyparse-models-hub 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="anyforge/anyparse-models-hub")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anyforge/anyparse-models-hub", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 838 Bytes
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"_valid_processor_keys": [
"images",
"do_resize",
"size",
"resample",
"do_rescale",
"rescale_factor",
"do_normalize",
"image_mean",
"image_std",
"return_tensors",
"data_format",
"input_data_format"
],
"do_convert_rgb": true,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_processor_type": "PPOCRV5ServerDetImageProcessor",
"model_input_names": ["pixel_values", "original_image_size"],
"image_mode": "BGR",
"channel_first": false,
"limit_side_len": 736,
"limit_type": "min",
"max_side_limit": 4000,
"image_mean": [0.406, 0.456, 0.485],
"image_std": [0.225, 0.224, 0.229],
"rescale_factor": 0.00392156862745098,
"resample": 2,
"normalize_order": "hwc",
"do_to_chw": true,
"keep_keys": ["image", "shape", "polys", "ignore_tags"]
} |