Instructions to use npario/GLM-OCR-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use npario/GLM-OCR-8bit 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="npario/GLM-OCR-8bit")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("npario/GLM-OCR-8bit") model = AutoModelForMultimodalLM.from_pretrained("npario/GLM-OCR-8bit", device_map="auto") - MLX
How to use npario/GLM-OCR-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download npario/GLM-OCR-8bit --local-dir GLM-OCR-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 165 Bytes
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"_from_model_config": true,
"do_sample": false,
"eos_token_id": [
59246,
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],
"pad_token_id": 59246,
"transformers_version": "5.0.1dev0"
}
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