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
File size: 191 Bytes
fbd6716 | 1 2 3 4 5 6 7 8 9 10 | {
"_from_model_config": true,
"bos_token_id": 0,
"decoder_start_token_id": 2,
"eos_token_id": 1,
"forced_eos_token_id": 2,
"pad_token_id": 3,
"transformers_version": "4.37.2"
}
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