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telecomsxchange
/
OpenTextShield

Text Classification
Transformers
Safetensors
bert
sms
spam
phishing
smishing
sms-spam-detection
phishing-detection
fraud-detection
sms-firewall
a2p-messaging
telecom
cybersecurity
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use telecomsxchange/OpenTextShield with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use telecomsxchange/OpenTextShield with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="telecomsxchange/OpenTextShield")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("telecomsxchange/OpenTextShield")
    model = AutoModelForSequenceClassification.from_pretrained("telecomsxchange/OpenTextShield", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
OpenTextShield
715 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
ajamous's picture
ajamous
docs: link the company site at www.telecomsxchange.com
9e839db verified about 15 hours ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    7.39 kB
    docs: link the company site at www.telecomsxchange.com about 15 hours ago
  • config.json
    937 Bytes
    Publish OpenTextShield mBERT v2.7 in standard Transformers format about 16 hours ago
  • model.safetensors
    711 MB
    xet
    Publish OpenTextShield mBERT v2.7 in standard Transformers format about 16 hours ago
  • special_tokens_map.json
    125 Bytes
    Publish OpenTextShield mBERT v2.7 in standard Transformers format about 16 hours ago
  • tokenizer.json
    2.92 MB
    Publish OpenTextShield mBERT v2.7 in standard Transformers format about 16 hours ago
  • tokenizer_config.json
    1.22 kB
    Publish OpenTextShield mBERT v2.7 in standard Transformers format about 16 hours ago
  • vocab.txt
    996 kB
    Publish OpenTextShield mBERT v2.7 in standard Transformers format about 16 hours ago