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
| 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 | |