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  ---
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  license: mit
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- library_name: transformers
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- pipeline_tag: text2text-generation
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  tags:
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- - text2text-generation
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- - t5
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- - flan-t5
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- - pytorch
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- - safetensors
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  widget:
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  - text: "answer question: How do I hire an expert?"
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- example_title: "Example Query"
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- inference:
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- parameters:
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- max_length: 512
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  ---
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- # Need Chat Support
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  This model is part of the NEED AI system for service marketplace intelligence.
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- ## Quick Start
 
 
 
 
 
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  ```python
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- from transformers import pipeline
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- # Initialize pipeline
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- pipe = pipeline("text2text-generation", model="yogami9/need-chat-support")
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- # Use the model
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- result = pipe("answer question: How do I hire an expert?")
 
 
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  print(result)
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  ```
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  response = requests.post(API_URL, headers=headers, json=payload)
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  return response.json()
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- output = query({"inputs": "answer question: How do I hire an expert?"})
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- print(output)
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  ```
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- ## Model Details
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-
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- - **Pipeline**: text2text-generation
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- - **Library**: transformers
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- - **Base Model**: Toxic-BERT
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- - **Task**: Question Answering
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-
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- ## Training
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-
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- Fine-tuned on NEED AI dataset for service marketplace applications.
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-
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- ## License
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-
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- MIT License - See repository for details.
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-
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  ## Links
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-
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  - **GitHub**: https://github.com/Need-Service-App/need-ai-model
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  - **Email**: needserviceapp@gmail.com
 
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  ---
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  license: mit
 
 
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  tags:
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+ - text-generation
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+ - transformers
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+ - need-ai
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+ - service-marketplace
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+ pipeline_tag: text2text-generation
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  widget:
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  - text: "answer question: How do I hire an expert?"
 
 
 
 
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  ---
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+ # NEED AI - Chat Support
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  This model is part of the NEED AI system for service marketplace intelligence.
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+ ## Model Details
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+ - **Task**: text2text-generation
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+ - **Base Model**: FLAN-T5-Base
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+ - **Fine-tuned for**: NEED Service App
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+
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+ ## Usage
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  ```python
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+ from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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+ model = AutoModelForSeq2SeqLM.from_pretrained("yogami9/need-chat-support")
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+ tokenizer = AutoTokenizer.from_pretrained("yogami9/need-chat-support")
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+ input_text = "answer question: How do I hire an expert?"
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+ inputs = tokenizer(input_text, return_tensors="pt")
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+ outputs = model.generate(**inputs)
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+ result = tokenizer.decode(outputs[0], skip_special_tokens=True)
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  print(result)
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  ```
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  response = requests.post(API_URL, headers=headers, json=payload)
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  return response.json()
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+ result = query({"inputs": "answer question: How do I hire an expert?"})
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+ print(result)
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  ```
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  ## Links
 
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  - **GitHub**: https://github.com/Need-Service-App/need-ai-model
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  - **Email**: needserviceapp@gmail.com