slidehelper-outlineGen

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 for generating presentation outlines.

Model Description

This model has been fine-tuned to generate structured outlines for presentations based on given topics.

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

# Load the model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Alestin/slidehelper-outlineGen")
model = AutoModelForCausalLM.from_pretrained("Alestin/slidehelper-outlineGen")

def generate_outline(topic, max_new_tokens=200):
    prompt = f"### Instruction:\nGenerate an outline for a presentation on: {topic}\n\n### Response:"

    inputs = tokenizer(prompt, return_tensors="pt")

    with torch.no_grad():
        outputs = model.generate(
            **inputs,
            max_new_tokens=max_new_tokens,
            temperature=0.7,
            top_p=0.9,
            repetition_penalty=1.2,
            do_sample=True,
            pad_token_id=tokenizer.eos_token_id
        )

    generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
    response = generated_text.split("### Response:")[1].strip()
    return response

# Example usage
outline = generate_outline("artificial intelligence")
print(outline)