| --- |
| license: apache-2.0 |
| ---# CyfutureAI Chatbot |
|
|
| CyfutureAI Chatbot is a conversational AI model designed for customer support, lead qualification, and general Q&A. It can be adapted for website chat widgets, WhatsApp bots, voicebots, or enterprise support systems. |
|
|
| ## 🔍 Key Features |
| - Multi-turn dialogue handling |
| - Support for business FAQs |
| - Context-aware responses |
| - Custom knowledgebase support |
| - Integration-ready for web, WhatsApp, and IVR systems |
|
|
| ## 🧠 Model Details |
| - Architecture: LLM-based chatbot |
| - Optimized for: Customer support, product queries, and task assistance |
| - Input: Text |
| - Output: Text response |
|
|
| ## 📦 Example Usage |
|
|
| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| |
| model_name = "Cyfutureai/cyfutureai-chatbot" |
| |
| tokenizer = AutoTokenizer.from_pretrained(model_name) |
| model = AutoModelForCausalLM.from_pretrained(model_name) |
| |
| inp = "Hi, I need help with GPU services." |
| inputs = tokenizer(inp, return_tensors="pt") |
| |
| outputs = model.generate(**inputs, max_new_tokens=200) |
| print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
| |
| |
