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
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
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README.md
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datasets:
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- sms_spam
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pipeline_tag: text-classification
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---
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## What is Open Source Text Shield (OTS)?
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datasets:
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- sms_spam
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pipeline_tag: text-classification
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license: mit
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language:
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- en
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library_name: fasttext
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---
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## What is Open Source Text Shield (OTS)?
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