hwanni/qwen2.5_3b_Finetunning_241005

Qwen 2.5 3B Fine-tuned Model

This model is a fine-tuned version of Qwen 2.5 3B for [specific task].

Model Description

• Fine-tuned from: Qwen/Qwen2.5-3B
• Fine-tuning task: [Describe your task]
• Training data: [Describe your dataset]
• Evaluation results: [Add your evaluation metrics]

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained("hwanni/qwen2.5_3b_Finetunning_241005")
tokenizer = AutoTokenizer.from_pretrained("hwanni/qwen2.5_3b_Finetunning_241005")

# Example usage
input_text = "Your input text here"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Limitations and Biases

[Describe any known limitations or biases of your model]

Training Details

• Training framework: Hugging Face Transformers
• Hyperparameters: [List your key hyperparameters]
• Training hardware: [Describe the hardware used]