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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffffabe507656f8274bdef49b99fa74f6f3b23c457f3b6760de98a5153d6785e
- Size of remote file:
- 4.92 kB
- SHA256:
- 63d5c18abfa0915665f29666d42168dc9ef9387c476f6c817fac9fb11dff476a
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