Update README.md

README.md

@@ -51,7 +51,7 @@ pipeline_tag: image-text-to-text
 
 | Model Details | Description |
 | ----------- | ----------- | 
-| Authors | Intel: [Musashi Hinck](https://huggingface.co/musashihinck), [Matthew Olson](https://huggingface.co/matthewlyleolson), [David Cobbley](https://huggingface.co/djcobble), [Shao-Yen Tseng](https://huggingface.co/shaoyent), [Vasudev Lal](https://huggingface.co/vasudevlal) | 
+| Authors | Intel: [Musashi Hinck*](https://huggingface.co/musashihinck), [Matthew L. Olson*](https://huggingface.co/matthewlyleolson), [David Cobbley](https://huggingface.co/djcobble), [Shao-Yen Tseng](https://huggingface.co/shaoyent), [Vasudev Lal](https://huggingface.co/vasudevlal) | 
 | Date | March 2024 | 
 | Version | 1 | 
 | Type | Large multimodal model (LMM) | 
@@ -71,7 +71,7 @@ This model card was created by [Benjamin Consolvo](https://huggingface.co/bconso
 
 ### How to use
 
-Currently, using `llava-gemma` requires a [modified preprocessor](./processing_llavagemma.py). _We are currently working on modifying the `LlavaProcessor` class to streamline usage (see [PR #30030](https://github.com/huggingface/transformers/pull/30030)). Expect updates soon._
+Using `llava-gemma` requires a [modified preprocessor](./processing_llavagemma.py) if your transformers version is < 4.41.1
 
 For current usage, see [`usage.py`](./usage.py) or the following code block:
 
@@ -83,7 +83,8 @@ from transformers import (
   AutoTokenizer,
   CLIPImageProcessor
 )
-from processing_llavagemma import LlavaGemmaProcessor # This is in this repo
+#In this repo, needed for version < 4.41.1
+#from processing_llavagemma import LlavaGemmaProcessor
 
 checkpoint = "Intel/llava-gemma-2b"