Support offical HF implementation and transformers > 5

Signed-off-by: Carles Onielfa <carlesonielfa@gmail.com>

Author: carlesonielfa

README.md

@@ -17,7 +17,7 @@ curl -LsSf https://astral.sh/uv/install.sh | sh
 ```
 ### From Git
 
-Install using git as a package index:
+Install from git:
 
 ```bash
 pip install git+https://github.com/vllm-project/bart-plugin

example_florence2_usage.py

@@ -5,19 +5,17 @@
 This script demonstrates how to use Florence-2 models with vLLM
 after installing the BART plugin.
 """
-import vllm_bart_plugin
+
 from vllm import LLM, SamplingParams
 from vllm.assets.image import ImageAsset
 
 
 def main():
     """Run Florence-2 model examples."""
-    model_name = "microsoft/Florence-2-large-ft"
-    tokenizer_name = "Isotr0py/Florence-2-tokenizer"
+    model_name = "florence-community/Florence-2-large-ft"
 
     llm = LLM(
         model=model_name,
-        tokenizer=tokenizer_name,
         mm_processor_cache_gb=0,
         trust_remote_code=True,
         enforce_eager=True,

pyproject.toml

@@ -28,7 +28,7 @@ classifiers = [
 dependencies = [
     "vllm>=0.16.0",
     "torch>=2.9.0",
-    "transformers>=4.56.0",
+    "transformers>=4.56.0,<6",
 ]
 
 [project.optional-dependencies]

vllm_bart_plugin/__init__.py

@@ -34,10 +34,10 @@ def register_bart_model() -> None:
             "vllm_bart_plugin.florence2:Florence2ForConditionalGeneration",
         )
 
-        logger.info("Successfully registered BART model with vLLM")
+        logger.info("Successfully registered BART and Florence2 models with vLLM")
 
     except Exception as e:
-        logger.error(f"Failed to register BART model: {e}")
+        logger.error(f"Failed to register BART and Florence2 models: {e}")
         raise