README.md

metadata

library_name: transformers
license: apache-2.0
language:
  - en
base_model: ds4sd/SmolDocling-256M-preview
pipeline_tag: image-text-to-text
tags:
  - mlx
  - mlxvlm

ahishamm/SmolDocling-256M-preview-mlx-fp16

The Model ahishamm/SmolDocling-256M-preview-mlx-fp16 was converted to MLX format from ds4sd/SmolDocling-256M-preview using mlx-lm version 0.1.17.

Use with mlx

pip install mlx-vlm

from mlx_lm import load, generate
model, tokenizer = load("ahishamm/SmolDocling-256M-preview-mlx-fp16")
prompt = "hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )
response = generate(model, tokenizer, prompt=prompt, verbose=True)