Transformers
Safetensors
vision-language
document-understanding
boundingdocs
bitsandbytes
4-bit precision
Instructions to use CompressingVLM/glm-ocr-boundingdocs-ft-bnb-nf4 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-nf4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CompressingVLM/glm-ocr-boundingdocs-ft-bnb-nf4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 161 Bytes
d95e17d | 1 2 3 4 5 6 7 8 9 10 11 | {
"_from_model_config": true,
"do_sample": false,
"eos_token_id": [
59246,
59253
],
"pad_token_id": 59246,
"transformers_version": "5.9.0"
}
|