Token Classification
Transformers
GGUF
French
English
mistral
privacy
anonymization
pii
legal
compliance
gdpr
rgpd
ner
on-premise
sovereign-ai
slm
privamesh
Instructions to use sallani/PrivaMesh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sallani/PrivaMesh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sallani/PrivaMesh")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sallani/PrivaMesh") model = AutoModelForTokenClassification.from_pretrained("sallani/PrivaMesh") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
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- README.md +7 -21
- priva.png +3 -0
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PrivaMesh Legal is **one node** in the PrivaMesh collaborative multi-SLM mesh. Each node is a specialized SLM fine-tuned on a specific domain. An orchestrator agent coordinates them at inference time.
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β PrivaMesh β β PrivaMesh β β PrivaMesh β
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β Legal ββββββ β β Finance β β Medical β
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β (this model) β β (coming soon) β β (coming soon) β
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β Anonymized document β semantically coherent, PII-free β
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β Ready for downstream LLMs and agentic reasoning β
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```
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**Upcoming PrivaMesh models:**
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PrivaMesh Legal is **one node** in the PrivaMesh collaborative multi-SLM mesh. Each node is a specialized SLM fine-tuned on a specific domain. An orchestrator agent coordinates them at inference time.
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<img src="priva.png" alt="PrivaMesh Framework Architecture β Collaborative Multi-SLM for Semantic Data Anonymization" width="720"/>
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<em>Figure 1 β PrivaMesh Framework: Raw enterprise documents are routed by the Orchestrator to specialized SLMs (Legal, Finance, Medical), validated semantically, and output as anonymized documents with a compliance report.</em>
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**Upcoming PrivaMesh models:**
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