Instructions to use DeepNeural/text-summarization-model-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepNeural/text-summarization-model-t5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DeepNeural/text-summarization-model-t5") model = AutoModelForSeq2SeqLM.from_pretrained("DeepNeural/text-summarization-model-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from DeepNeural/text-summarization-model-t5: direct link, hf CLI and curl.
- Browser
- Download file 374 MB
-
https://huggingface.co/DeepNeural/text-summarization-model-t5/resolve/main/tf_model.h5
- Command line
-
hf download hf://DeepNeural/text-summarization-model-t5/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/DeepNeural/text-summarization-model-t5/resolve/main/tf_model.h5
374 MB
- Xet hash:
- 810edaade875bb842fd3eb33d3648ec83ada9d820b180e173a0fe107b453d1bc
- Size of remote file:
- 374 MB
- SHA256:
- e8c435125e9a5b9604551f0e4e00df51c2550ca2554653f85cdeb6436f08587e
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