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text-simplification-runpod
Lorobert/text-simplification-runpod
text-simplification-runpod is a machine learning model from Lorobert. 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 apache-2.0.
- Training Loss: 0.2796 - Training Time: 22:39 (3 epochs) - Dataset: GEM/wikiautoassetturk (483,801 samples) - GPU: NVIDIA H100 80GB - Batch Size: 64
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At a glance
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Oct 15, 2025
- Updated
- Oct 15, 2025
- SHA
- 7f27d958
Model card
From the Hugging Face model README
Text Simplification Model (H100 Trained)
Training Results
- Training Loss: 0.2796
- Training Time: 22:39 (3 epochs)
- Dataset: GEM/wiki_auto_asset_turk (483,801 samples)
- GPU: NVIDIA H100 80GB
- Batch Size: 64
Usage
from transformers import BartTokenizer, BartForConditionalGeneration
model = BartForConditionalGeneration.from_pretrained("Lorobert/text-simplification-runpod")
tokenizer = BartTokenizer.from_pretrained("Lorobert/text-simplification-runpod")
text = "Complex sentence here."
inputs = tokenizer(text, return_tensors="pt", max_length=128, truncation=True)
outputs = model.generate(**inputs, max_length=128, num_beams=4)
simplified = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(simplified)
- Type
- bart
- License
- apache-2.0
- Languages
- en
- Created
- Oct 15, 2025
- Updated
- Oct 15, 2025