Instructions to use AnTechAI/vit5-vietnamese-summarization-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnTechAI/vit5-vietnamese-summarization-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AnTechAI/vit5-vietnamese-summarization-base") model = AutoModelForSeq2SeqLM.from_pretrained("AnTechAI/vit5-vietnamese-summarization-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e8ab49ce509db4d5d5b2eb0f4f423106e70c05fed7cb36628c05524994a73cd
- Size of remote file:
- 5.56 kB
- SHA256:
- 9b077d80dbfdcdf8b1dbe8d6d2b6dec9a8fe979b712359e7b11bf07645b7b82e
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