Summarization
Transformers
English
code
Summarizer
BART
Gradio
Machine Learning
Natural Language Processing (NLP)
Deep Learning
Interactive Demo
Python
AI
Instructions to use Dannyar608/Text_summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dannyar608/Text_summarizer 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="Dannyar608/Text_summarizer")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Dannyar608/Text_summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 348 Bytes
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datasets:
- abisee/cnn_dailymail
language:
- en
metrics:
- rouge
- bleu
- meteor
- ter
base_model:
- facebook/bart-large-cnn
pipeline_tag: summarization
library_name: transformers
tags:
- code
- Summarizer
- BART
- transformers
- Gradio
- Machine Learning
- Natural Language Processing (NLP)
- Deep Learning
- Interactive Demo
- Python
- AI
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