Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use msivanes/summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msivanes/summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("msivanes/summarization") model = AutoModelForSeq2SeqLM.from_pretrained("msivanes/summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e6cfa69c9d934fb86f5446deb40190da4a05b85e2ae3438785c1ad00042b483
- Size of remote file:
- 4.73 kB
- SHA256:
- 9d89b08de09d99808fb3d4879b03f4275415e94e84f384cab3c2b5435a91cf8b
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