Instructions to use tuandm/text_summarization_vit5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuandm/text_summarization_vit5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tuandm/text_summarization_vit5") model = AutoModelForSeq2SeqLM.from_pretrained("tuandm/text_summarization_vit5") - Notebooks
- Google Colab
- Kaggle
Upload spiece.model
Browse files- spiece.model +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:59986b62f9f0b90edafb9b073ea7b93d21114a5841219a1ea2399ade73f729c6
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size 820370
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