Transformers
Safetensors
bart
text2text-generation
kobart-summarization-diary
Generated from Trainer
Instructions to use jjae/summarization-diary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jjae/summarization-diary with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jjae/summarization-diary") model = AutoModelForSeq2SeqLM.from_pretrained("jjae/summarization-diary") - Notebooks
- Google Colab
- Kaggle
Summarize a diary
Browse files
README.md
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license: mit
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base_model: gogamza/kobart-summarization
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tags:
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- generated_from_trainer
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model-index:
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- name: summary
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license: mit
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base_model: gogamza/kobart-summarization
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tags:
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- kobart-summarization-diary
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- generated_from_trainer
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model-index:
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- name: summary
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