# Load model directly
from transformers import AutoTokenizer, AutoModelForImageTextToText
tokenizer = AutoTokenizer.from_pretrained("mlx-community/GLM-OCR-4bit")
model = AutoModelForImageTextToText.from_pretrained("mlx-community/GLM-OCR-4bit")Quick Links
mlx-community/GLM-OCR-4bit
This model was converted to MLX format from zai-org/GLM-OCR using mlx-vlm version 0.3.10.
Refer to the original model card for more details on the model.
Use with mlx
pip install -U mlx-vlm
python -m mlx_vlm.generate --model mlx-community/GLM-OCR-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
- Downloads last month
- 571
Model size
0.5B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
Log In to add your hardware
4-bit
# 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="mlx-community/GLM-OCR-4bit")