Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,30 @@
+---
+library_name: transformers
+license: apache-2.0
+language:
+- en
+base_model: ds4sd/SmolDocling-256M-preview
+pipeline_tag: image-text-to-text
+tags:
+- mlx
+---
+
+# 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 **unknown**.
+
+## Use with mlx
+```bash
+pip install mlx-lm
+```
+```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)
+```