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NEED AI - Service Description
Fine-tuned T5 model for generating professional service descriptions from structured input.
Model Details
- Base Model: google/flan-t5-base
- Task: Text2Text Generation
- 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-service-description"
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
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Model tree for yogami9/need-service-description
Base model
google/flan-t5-base