Instructions to use textagent/GLM-OCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textagent/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="textagent/GLM-OCR")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("textagent/GLM-OCR") model = AutoModelForMultimodalLM.from_pretrained("textagent/GLM-OCR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d8d124f3a4fdf7ea2ebb72cd587b4b6ece9b28b9d1ecb1108f439f541ad16ce
- Size of remote file:
- 2.65 GB
- SHA256:
- a16eb0de98d199293371c560f95f83130d2a2c9612449df16839f08ff9498815
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