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qwen2.5_3b_Finetunning_241012
INo0121/qwen2.5_3b_Finetunning_241012
qwen2.5_3b_Finetunning_241012 is a machine learning model from INo0121. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This model is a fine-tuned version of Qwen 2.5 3B for recipie recommandation.
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Public
Updated Oct 16, 2024
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41 MB
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At a glance
- License
- mit
- Access
- Public
- Created
- Oct 12, 2024
- Updated
- Oct 16, 2024
- SHA
- e2d4d704
Model card
From the Hugging Face model README
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]
- License
- mit
- Languages
- ko
- Created
- Oct 12, 2024
- Updated
- Oct 16, 2024