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--- |
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license: apache-2.0 |
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language: |
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- en |
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base_model: |
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- sshleifer/distilbart-cnn-12-6 |
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pipeline_tag: summarization |
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library_name: transformers |
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--- |
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# Text Summarization (CPU/GPU) |
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- **Model:** `sshleifer/distilbart-cnn-12-6` (Apache-2.0) |
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- **Task:** Abstractive summarization. |
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- **Note:** Here we just provide the resources for to run this models in the laptops we didn't develop this entire models we just use the open source models for the experiment this model is developed by sshleifer |
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## Quick start (any project) |
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```bash |
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# 1) Create env |
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python -m venv venv && source .venv/bin/activate # Windows: ./venv/Scripts/activate |
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# 2) Install deps |
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pip install -r requirements.txt |
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# 3) Run |
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python main.py --help |
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``` |
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> Tip: If you have a GPU + CUDA, PyTorch will auto-use it. If not, everything runs on CPU (slower but works). |
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