Update README.md

README.md

@@ -6,6 +6,7 @@ language:
 # Text Classification GoEmotions
 
 This model is a fined-tuned version of [nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Large](https://huggingface.co/nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Large) on the on the [Jigsaw 1st Kaggle competition](https://www.kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge) dataset using [unitary/toxic-bert](https://huggingface.co/unitary/toxic-bert) as teacher model.
+The quantized version in ONNX format can be found [here](minuva/MiniLMv2-toxic-jijgsaw-onnx). The model with two labels only (toxicity and severe toxicity) is [here](minuva/MiniLMv2-toxic-jijgsaw-lite-onnx)
 
 # Load the Model
 
@@ -37,5 +38,5 @@ The following hyperparameters were used during training:
 
 # Deployment
 
-Check this [repository](https://github.com/minuva/toxicity-prediction-serverless) to see how to deploy in a serveless enviroment with onnnxruntime
+Check this [repository](https://github.com/minuva/toxicity-prediction-serverless) to see how to easily deploy this model in a serverless environment with fast CPU inference and light resource utilization.