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

python

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'])