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added the Transformers example for text classification

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`@@ -9,6 +9,7 @@`
`9`	`9`
`10`	`10`	`- [Claude 3 Interaction using the Anthropic API](notebooks/claude3_test.ipynb)`
`11`	`11`	`- [GPT-4 interaction using the OpenAI API](notebooks/gpt4_test.ipynb)`
	`12`	`+- [Simple Transformer-based Text Classification](notebooks/Transformers_example_simple_text_classification.ipynb)`
`12`	`13`	`- [Stanza Tutorial](notebooks/Stanza_tutorial.ipynb)`
`13`	`14`	`- [Converting SEC CIKs to a Knowledge Graph](notebooks/CIK_to_Graph.ipynb)`
`14`	`15`	`- [Allegro Graph example](https://github.com/dcavar/python-tutorial-notebooks/blob/master/notebooks/AllegroGraph_example.ipynb)`

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