Summarization
Transformers
TensorBoard
Safetensors
English
bart
text2text-generation
Generated from Trainer
Instructions to use EE21/BART-ToSSimplify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EE21/BART-ToSSimplify with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="EE21/BART-ToSSimplify")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EE21/BART-ToSSimplify") model = AutoModelForSeq2SeqLM.from_pretrained("EE21/BART-ToSSimplify") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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## Model description
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BART-ToSSimplify is designed to generate summaries of Terms of Service documents.
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## Intended uses & limitations
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Intended Uses:
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- Generating simplified summaries of Terms of Service agreements.
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- Automating the summarization of legal documents for quick comprehension.
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Limitations:
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- This model is specifically designed for the English language and cannot be applied to other languages.
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- The quality of generated summaries may vary based on the complexity of the source text.
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## Training and evaluation data
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BART-ToSSimplify was trained on a dataset consisting of summaries of various Terms of Service agreements. The dataset was collected and preprocessed to create a training and evaluation split.
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## Training procedure
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