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Update README.md

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@@ -3,7 +3,10 @@ language:
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  - fr
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  tags:
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  - camembert
 
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  - chti
 
 
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  - sentiment-analysis
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  - text-classification
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  - fine-tuning
@@ -168,20 +171,20 @@ print({mdl.config.id2label[i]: float(probs[i]) for i in range(len(probs))})
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  👉 [Try the Chat Console (Space)](https://huggingface.co/spaces/jeromex1/NorBERT) with sample phrases such as:
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  - **"Ch’est l’baraki, les embouteillages sur la Grand-Place !"**
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- *(It’s a mess, traffic jams on the Grand-Place!)*
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  - **"Ch’est pas mal, la ducasse de Lille."**
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- *(Not bad at all, the Lille fair.)*
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  - **"In est ravi : ce carbonade flamande !"**
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- *(We’re delighted — this Flemish stew is amazing!)*
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  ---
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  ## 🎯 Why this project matters
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  NorBERT_Chti is not just a technical demo — it’s a tribute to regional language, cultural identity, and the expressive power of NLP.
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  It showcases how synthetic data generation, fine-tuning, and deployment can be combined to build a playful yet robust sentiment classifier.
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- Perfect for demonstrating end-to-end AI skills in a portfolio.
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  📘 Discover my **40 AI and STEM** science projects here :
 
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  - fr
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  tags:
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  - camembert
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+ - camembert-base
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  - chti
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+ - ch'ti
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+ - NLP
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  - sentiment-analysis
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  - text-classification
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  - fine-tuning
 
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  👉 [Try the Chat Console (Space)](https://huggingface.co/spaces/jeromex1/NorBERT) with sample phrases such as:
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  - **"Ch’est l’baraki, les embouteillages sur la Grand-Place !"**
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+ *(It’s a mess, traffic jams on the Grand-Place! — “baraki” is a slang term meaning chaotic or low-class)*
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  - **"Ch’est pas mal, la ducasse de Lille."**
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+ *(Not bad at all, the Lille fair. — “ducasse” is a traditional fair in Northern France)*
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  - **"In est ravi : ce carbonade flamande !"**
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+ *(We’re delighted — this Flemish stew is amazing! — “Carbonade flamande” is a regional beef dish with beer sauce)*
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  ---
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  ## 🎯 Why this project matters
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  NorBERT_Chti is not just a technical demo — it’s a tribute to regional language, cultural identity, and the expressive power of NLP.
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  It showcases how synthetic data generation, fine-tuning, and deployment can be combined to build a playful yet robust sentiment classifier.
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+ Made for demonstrating end-to-end AI skills in a portfolio.
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  📘 Discover my **40 AI and STEM** science projects here :