Instructions to use MohamedZaitoon/T5-CNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MohamedZaitoon/T5-CNN 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="MohamedZaitoon/T5-CNN")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MohamedZaitoon/T5-CNN", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from MohamedZaitoon/T5-CNN: direct link, hf CLI and curl.
- Browser
- Download file 74 Bytes
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https://huggingface.co/MohamedZaitoon/T5-CNN/resolve/main/README.md
- Command line
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hf download hf://MohamedZaitoon/T5-CNN/README.md
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curl -L -o README.md https://huggingface.co/MohamedZaitoon/T5-CNN/resolve/main/README.md
74 Bytes
metadata
tags:
- summarization
datasets:
- CNN/Daily-mail
metrics:
- ROUGE