Update README.md

README.md

@@ -14,7 +14,7 @@ UForm is a Multi-Modal Modal Inference package, designed to encode Multi-Lingual
 This is the repository of [English](https://huggingface.co/unum-cloud/uform-vl-english/tree/main) and [multilingual](https://huggingface.co/unum-cloud/uform-vl-multilingual) UForm models converted to CoreML MLProgram format.
 Currently, only __unimodal__ parts of models are converted.
 
-## Descriptions
+## Description
 
 Each model is separated into two parts: `image-encoder` and `text-encoder`:
 
@@ -25,15 +25,18 @@ Each model is separated into two parts: `image-encoder` and `text-encoder`:
 
  Each checkpoint is a zip archive with an MLProgram of the corresponding encoder.
  
- A text encoder has the following input fields:
+Text encoders have the following input fields:
 
  * `input_ids`: int32
  * `attention_mask`: int32
 
-An image encoder has a single input field `image`: float32
+and support flexible batch size.
+
+Image encoders has a single input field `image`: float32 and support only batch of single image (due to CoreML bug).
 
 Both encoders return:
 
 * `features`: float32
 * `embeddings`: float32
 
+If you want to convert a model with other parameters (i.e fp16 precision or other batch size range), you can use [convert.py](https://huggingface.co/unum-cloud/uform-coreml/blob/main/convert_model.py)