Instructions to use MurphyA/GLM-OCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MurphyA/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="MurphyA/GLM-OCR")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("MurphyA/GLM-OCR") model = AutoModelForImageTextToText.from_pretrained("MurphyA/GLM-OCR") - Notebooks
- Google Colab
- Kaggle
| { | |
| "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" | |
| } | |