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README.md

@@ -2,8 +2,8 @@
 license: other
 license_name: health-ai-developer-foundations
 license_link: https://developers.google.com/health-ai-developer-foundations/terms
-library_name: transformers
-pipeline_tag: image-text-to-text
+library_name: mlx
+pipeline_tag: text-generation
 extra_gated_heading: Access MedGemma on Hugging Face
 extra_gated_prompt: To access MedGemma on Hugging Face, you're required to review
   and agree to [Health AI Developer Foundation's terms of use](https://developers.google.com/health-ai-developer-foundations/terms).
@@ -16,12 +16,13 @@ tags:
 - clinical-reasoning
 - thinking
 - mlx
-- mlx-my-repo
 ---
 
 # mlx-community/medgemma-27b-text-it-8bit
 
-The Model [mlx-community/medgemma-27b-text-it-8bit](https://huggingface.co/mlx-community/medgemma-27b-text-it-8bit) was converted to MLX format from [google/medgemma-27b-text-it](https://huggingface.co/google/medgemma-27b-text-it) using mlx-lm version **0.24.1**.
+This model [mlx-community/medgemma-27b-text-it-8bit](https://huggingface.co/mlx-community/medgemma-27b-text-it-8bit) was
+converted to MLX format from [google/medgemma-27b-text-it](https://huggingface.co/google/medgemma-27b-text-it)
+using mlx-lm version **0.24.1**.
 
 ## Use with mlx
 
@@ -34,12 +35,12 @@ from mlx_lm import load, generate
 
 model, tokenizer = load("mlx-community/medgemma-27b-text-it-8bit")
 
-prompt="hello"
+prompt = "hello"
 
-if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
+if tokenizer.chat_template is not None:
     messages = [{"role": "user", "content": prompt}]
     prompt = tokenizer.apply_chat_template(
-        messages, tokenize=False, add_generation_prompt=True
+        messages, add_generation_prompt=True
     )
 
 response = generate(model, tokenizer, prompt=prompt, verbose=True)