Nanonets-OCR-s-bf16

241
2
3.0B
2 languages
—
by
mlx-community
Image Model
OTHER
3B params
New
241 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
7GB+ RAM
Mobile
Laptop
Server
Quick Summary

mlx-community/Nanonets-OCR-s-bf16 This model was converted to MLX format from [`nanonets/Nanonets-OCR-s`]() using mlx-vlm version 0.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
3GB+ RAM

Code Examples

Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>

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