yogami9/need-content-moderation

NEED AI - Content Moderation

BERT model for detecting toxic and inappropriate content in user messages and reviews.

Model Details

• Base Model: unitary/toxic-bert
• Task: Text Classification
• Fine-tuned for: NEED Service Marketplace Platform
• Language: English
• License: MIT

Usage

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
# or AutoModelForSequenceClassification for moderation
# or SentenceTransformer for semantic-search

model_name = "yogami9/need-content-moderation"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)

# Example usage
input_text = "Your input here"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs)
result = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(result)

Training Data

Trained on curated datasets specific to the NEED platform's service categories and user interactions.

Limitations

• Optimized for English language
• Best performance on NEED platform-specific queries
• May require fine-tuning for other domains

Contact

• Organization: NEED Service App
• Email: [email protected]
• GitHub: https://github.com/Need-Service-App

Related Models

All NEED AI models:

• Category Recommendation
• Chat Support
• Service Description
• Semantic Search
• Content Moderation