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Sensible series branding + rename refs

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  1. README.md +5 -5
README.md CHANGED
@@ -25,14 +25,14 @@ tags:
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  - distilbert-sst2-alternative
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  ---
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- # 💬 ModernBERT Sentiment Analysis
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  ### The modern replacement for the classic SST-2 sentiment model — **0.946 vs 0.913** on the exact same benchmark, one `pipeline()` line.
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  ```python
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  from transformers import pipeline
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- clf = pipeline("text-classification", model="AnkitAI/ModernBERT-Sentiment-Analysis")
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  clf("This movie was absolutely wonderful!")
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  # [{'label': 'positive', 'score': 0.99}]
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  ```
@@ -87,12 +87,12 @@ Full fine-tune of ModernBERT-base on SST-2 (GLUE, 67k sentences): 2 epochs, lr 2
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  ## 📖 Citation
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  ```bibtex
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- @misc{modernbertsentiment2026,
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  author = {Aglawe, Ankit},
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- title = {ModernBERT Sentiment Analysis},
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  year = {2026},
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  publisher = {Hugging Face},
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- url = {https://huggingface.co/AnkitAI/ModernBERT-Sentiment-Analysis}
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  }
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  ```
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  - distilbert-sst2-alternative
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  ---
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+ # 🦉 Sensible — ModernBERT Sentiment Analysis
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  ### The modern replacement for the classic SST-2 sentiment model — **0.946 vs 0.913** on the exact same benchmark, one `pipeline()` line.
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  ```python
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  from transformers import pipeline
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+ clf = pipeline("text-classification", model="AnkitAI/Sensible-ModernBERT-Sentiment-Analysis")
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  clf("This movie was absolutely wonderful!")
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  # [{'label': 'positive', 'score': 0.99}]
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  ```
 
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  ## 📖 Citation
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  ```bibtex
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+ @misc{sensiblesentiment2026,
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  author = {Aglawe, Ankit},
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+ title = {Sensible: ModernBERT Sentiment Analysis},
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  year = {2026},
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  publisher = {Hugging Face},
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+ url = {https://huggingface.co/AnkitAI/Sensible-ModernBERT-Sentiment-Analysis}
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  }
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  ```
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