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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MohamedZaitoon/T5-CNN", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f873ce132610a812148dda8f1cde7c77d549e057f761fc433cb5ad3fa8e55cf
- Size of remote file:
- 242 MB
- SHA256:
- f0a48e4bc7d1218211ac58b942192742f2ece19ae58839e7a175742d8578e396
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