Instructions to use zai-org/GLM-OCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zai-org/GLM-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="zai-org/GLM-OCR")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("zai-org/GLM-OCR") model = AutoModelForImageTextToText.from_pretrained("zai-org/GLM-OCR") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 367 Bytes
c676960 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"size": {"shortest_edge": 12544, "longest_edge": 9633792},
"do_rescale": true,
"patch_size": 14,
"temporal_patch_size": 2,
"merge_size": 2,
"image_mean": [0.48145466, 0.4578275, 0.40821073],
"image_std": [0.26862954, 0.26130258, 0.27577711],
"image_processor_type": "Glm46VImageProcessor",
"processor_class": "Glm46VProcessor"
}
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