metadata
license: mit
metrics:
- accuracy
base_model:
- openai-community/gpt2
- LLMasterLL/AbNovobench
library_name: transformers
tags:
- text-generation-inference
- chatbot
- causal-lm
- educational
- AI tutor
AI Tutor Model v2
Model: ai-tutor-model-v2
Author: mah567
License: MIT / Apache 2.0
Tags: chatbot, question-answering, educational, AI tutor
Model Description
ai-tutor-model-v2 is a fine-tuned causal language model designed to answer educational questions. It is trained on a custom dataset of Q&A pairs to assist students and learners with explanations and solutions.
Intended Use
- Answering educational questions.
- Providing explanations for simple queries.
- Assisting in tutoring and learning scenarios.
Not intended for:
- Medical, legal, or financial advice.
- Sensitive personal data processing.
How to Use
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
# Load the model
tokenizer = AutoTokenizer.from_pretrained("mah567/ai-tutor-model-v2")
model = AutoModelForCausalLM.from_pretrained("mah567/ai-tutor-model-v2")
# Create a text-generation pipeline
tutor = pipeline("text-generation", model=model, tokenizer=tokenizer)
# Ask a question
response = tutor("What is the capital of France?", max_length=50)
print(response[0]['generated_text'])