Instructions to use digit82/kobart-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use digit82/kobart-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("digit82/kobart-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("digit82/kobart-summarization") - Notebooks
- Google Colab
- Kaggle
| {"special_tokens_map_file": "/Users/digit82/.cache/huggingface/transformers/3e6abf40f4fadbea9e7b539c182868d979838d8f7e6cdcdf2ed52ddcf01420c0.15447ae63ad4a2eba8bc7a5146360711dc32b315b4f1488b4806debf35315e9a", "name_or_path": "gogamza/kobart-base-v1", "tokenizer_class": "PreTrainedTokenizerFast"} |