Instructions to use dnrso/koBART_Sum_Review_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dnrso/koBART_Sum_Review_finetuning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dnrso/koBART_Sum_Review_finetuning") model = AutoModelForSeq2SeqLM.from_pretrained("dnrso/koBART_Sum_Review_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 310 Bytes
80f5409 | 1 2 3 4 5 6 | {
"name_or_path": "digit82/kobart-summarization",
"special_tokens_map_file": "/Users/digit82/.cache/huggingface/transformers/3e6abf40f4fadbea9e7b539c182868d979838d8f7e6cdcdf2ed52ddcf01420c0.15447ae63ad4a2eba8bc7a5146360711dc32b315b4f1488b4806debf35315e9a",
"tokenizer_class": "PreTrainedTokenizerFast"
}
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