Transformers
Safetensors
bart
text2text-generation
kobart-summarization-diary
Generated from Trainer
Instructions to use jjae/kobart-summarization-diary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jjae/kobart-summarization-diary with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jjae/kobart-summarization-diary") model = AutoModelForSeq2SeqLM.from_pretrained("jjae/kobart-summarization-diary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jjae/kobart-summarization-diary: direct link, hf CLI and curl.
- Browser
- Download file 1.05 MB
-
https://huggingface.co/jjae/kobart-summarization-diary/resolve/main/tokenizer.json
- Command line
-
hf download hf://jjae/kobart-summarization-diary/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jjae/kobart-summarization-diary/resolve/main/tokenizer.json
1.05 MB
File too large to display, you can check the raw version instead.