Transformers
Safetensors
vision-language
document-understanding
boundingdocs
bitsandbytes
8-bit precision
Instructions to use CompressingVLM/glm-ocr-boundingdocs-ft-bnb-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CompressingVLM/glm-ocr-boundingdocs-ft-bnb-int8 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CompressingVLM/glm-ocr-boundingdocs-ft-bnb-int8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from CompressingVLM/glm-ocr-boundingdocs-ft-bnb-int8: direct link, hf CLI and curl.
- Browser
- Download file 6.84 MB
-
https://huggingface.co/CompressingVLM/glm-ocr-boundingdocs-ft-bnb-int8/resolve/main/tokenizer.json
- Command line
-
hf download hf://CompressingVLM/glm-ocr-boundingdocs-ft-bnb-int8/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/CompressingVLM/glm-ocr-boundingdocs-ft-bnb-int8/resolve/main/tokenizer.json
6.84 MB
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