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README.md

@@ -1,11 +1,3 @@
----
-license: mit
-language:
-- en
-pipeline_tag: token-classification
-tags:
-- tokenizer
----
 # Traum Tokenizer
 
 Traum Tokenizer is a high-performance, specialized tokenizer designed for next-generation Large Language Models (LLMs) and specifically optimized for the Flash - SLM project. Developed after extensive research into existing tokenizers like GPT-2 and BERT, Traum Tokenizer addresses the critical need for a balanced approach between compression efficiency, training speed, and linguistic understanding.
@@ -43,7 +35,7 @@ Traum Tokenizer has been benchmarked against GPT-2 and LLaMA tokenizers across m
 
 The chart below visualizes the comparative efficiency of Traum Tokenizer across different test sets.
 
-![Tokenizer Comparison](./Traum_Chart.png)
+![Tokenizer Comparison](./traum_chart.png)
 
 ## Future Development
 
@@ -69,7 +61,7 @@ print(f"Decoded text: {tokenizer.decode(tokens)}")
 
 - `tokenizer.json`: Core BPE tokenizer configuration and vocabulary.
 - `tokenizer_config.json`: Metadata and configuration for the Transformers/Tokenizers library.
-- `Traum_Chart.png`: Benchmark visualization.
+- `traum_chart.png`: Benchmark visualization.
 - `README.md`: System documentation and benchmarks.
 
 ## Developer
@@ -77,4 +69,4 @@ print(f"Decoded text: {tokenizer.decode(tokens)}")
 **Assem Sabry** is an Egyptian AI Engineer & Researcher and the founder of Token AI (founded in 2025).
 
 - Website: https://assem.cloud/
-- LinkedIn: https://www.linkedin.com/in/assem7/
+- LinkedIn: https://www.linkedin.com/in/assem7/