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README.md

@@ -5,20 +5,20 @@ license: apache-2.0
 library_name: onnx
 tags:
   - onnx
-  - affectively
+  - forkjoin-ai
 base_model: facebook/bart-large-cnn
 pipeline_tag: summarization
 ---
 
 # Bart Large Cnn
 
-AFFECTIVELY conversion of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) to ONNX format for edge deployment.
+Forkjoin.ai conversion of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) to ONNX format for edge deployment.
 
 ## Model Details
 
 - **Source Model**: [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn)
 - **Format**: ONNX
-- **Converted by**: [AFFECTIVELY](https://affectively.ai)
+- **Converted by**: [Forkjoin.ai](https://forkjoin.ai)
 
 ## Usage
 
@@ -34,12 +34,12 @@ session = ort.InferenceSession("bart-large-cnn-onnx.onnx")
 
 ```python
 from optimum.onnxruntime import ORTModelForSequenceClassification
-model = ORTModelForSequenceClassification.from_pretrained("affectively-ai/bart-large-cnn-onnx")
+model = ORTModelForSequenceClassification.from_pretrained("forkjoin-ai/bart-large-cnn-onnx")
 ```
 
-## About AFFECTIVELY
+## About Forkjoin.ai
 
-[AFFECTIVELY](https://affectively.ai) is an emotion intelligence platform that runs AI models at the edge -- in-browser, on-device, zero cloud cost. These converted models power the platform's real-time emotion analysis, speech recognition, and natural language capabilities.
+[Forkjoin.ai](https://forkjoin.ai) runs AI models at the edge -- in-browser, on-device, zero cloud cost. These converted models power real-time inference, speech recognition, and natural language capabilities.
 
 All conversions are optimized for edge deployment within browser and mobile memory constraints.