Text Classification
Transformers
Safetensors
English
bert
multi-text-classification
classification
intent-classification
intent-detection
nlp
natural-language-processing
edge-ai
iot
smart-home
location-intelligence
voice-assistant
conversational-ai
real-time
bert-local
bert-mini
local-search
business-category-classification
fast-inference
lightweight-model
on-device-nlp
offline-nlp
mobile-ai
multilingual-nlp
intent-routing
category-detection
query-understanding
artificial-intelligence
assistant-ai
smart-cities
customer-support
productivity-tools
contextual-ai
semantic-search
user-intent
microservices
smart-query-routing
industry-application
aiops
domain-specific-nlp
location-aware-ai
intelligent-routing
edge-nlp
smart-query-classifier
zero-shot-classification
smart-search
location-awareness
contextual-intelligence
geolocation
query-classification
multilingual-intent
chatbot-nlp
enterprise-ai
sdk-integration
api-ready
developer-tools
real-world-ai
geo-intelligence
embedded-ai
smart-routing
voice-interface
smart-devices
contextual-routing
fast-nlp
data-driven-ai
inference-optimization
digital-assistants
neural-nlp
ai-automation
lightweight-transformers
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With support for **140+ local business categories** and a compact model size of **~20MB**, bert-local combines open-source datasets and advanced fine-tuning to overcome the limitations of Google Mapsβ NLP. Open source and extensible, itβs perfect for developers and businesses building context-aware local search solutions on edge devices and mobile applications. π
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**[Explore bert-local](https://huggingface.co/bert-local)** π
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## Table of Contents π
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- [Why bert-local?](#why-bert-local) π
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- **Requirements** π: Python 3.8+, ~20MB storage for model and dependencies.
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- **Optional** π§: CUDA-enabled GPU for faster training/inference.
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- **Model Download** π₯: Grab the pre-trained model from [Hugging Face](https://huggingface.co/bert-local).
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## Community & Support π
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Join the bert-local community:
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- π Explore the [Hugging Face model page](https://huggingface.co/bert-local) π
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- π οΈ Report issues or contribute at the [repository](https://huggingface.co/bert-local) π§
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- π¬ Discuss on Hugging Face forums or submit pull requests π£οΈ
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- π Learn more via [Hugging Face Transformers docs](https://huggingface.co/docs/transformers) π
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**June 9, 2025** β Added 140+ category support, updated test accuracy, and enhanced documentation with emojis.
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**[Get Started with bert-local](https://huggingface.co/bert-local)** π
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With support for **140+ local business categories** and a compact model size of **~20MB**, bert-local combines open-source datasets and advanced fine-tuning to overcome the limitations of Google Mapsβ NLP. Open source and extensible, itβs perfect for developers and businesses building context-aware local search solutions on edge devices and mobile applications. π
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**[Explore bert-local](https://huggingface.co/boltuix/bert-local)** π
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## Table of Contents π
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- [Why bert-local?](#why-bert-local) π
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312 |
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- **Requirements** π: Python 3.8+, ~20MB storage for model and dependencies.
|
314 |
- **Optional** π§: CUDA-enabled GPU for faster training/inference.
|
315 |
+
- **Model Download** π₯: Grab the pre-trained model from [Hugging Face](https://huggingface.co/boltuix/bert-local).
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---
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## Community & Support π
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646 |
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Join the bert-local community:
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648 |
+
- π Explore the [Hugging Face model page](https://huggingface.co/boltuix/bert-local) π
|
649 |
+
- π οΈ Report issues or contribute at the [repository](https://huggingface.co/boltuix/bert-local) π§
|
650 |
- π¬ Discuss on Hugging Face forums or submit pull requests π£οΈ
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651 |
- π Learn more via [Hugging Face Transformers docs](https://huggingface.co/docs/transformers) π
|
652 |
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658 |
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659 |
**June 9, 2025** β Added 140+ category support, updated test accuracy, and enhanced documentation with emojis.
|
660 |
|
661 |
+
**[Get Started with bert-local](https://huggingface.co/boltuix/bert-local)** π
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