|
--- |
|
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](https://huggingface.co/ahishamm/SmolDocling-256M-preview-mlx-fp16) was converted to MLX format from [ds4sd/SmolDocling-256M-preview](https://huggingface.co/ds4sd/SmolDocling-256M-preview) |
|
using mlx-lm version **0.1.17**. |
|
|
|
## Use with mlx |
|
```bash |
|
pip install mlx-vlm |
|
``` |
|
```python |
|
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) |
|
``` |
