Qwen 2.5 3B Fine-tuned Model
This model is a fine-tuned version of Qwen 2.5 3B for recipie recommandation.
Model Description
- Fine-tuned from: Qwen/Qwen2.5-3B
- Fine-tuning task: [Instruction-tuning]
- Training data: [kyujinpy/KOpen-platypus + Recipe data]
- Evaluation results: [Add your evaluation metrics]
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("INo0121/qwen2.5_3b_Finetunning_241012")
tokenizer = AutoTokenizer.from_pretrained("INo0121/qwen2.5_3b_Finetunning_241012")
# 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]