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
Commit History
-
Update README.md
Verified signature9e4d718
-
Upload tokenizer
f19f6f1 -
Upload BartForConditionalGeneration
1952d20
-
Upload tokenizer
4f16e67 -
Upload BartForConditionalGeneration
4077ad3
-
Update README.md
730c368
-
Create README.md
650ecac -
Upload tokenizer
80f5409 -
Upload BartForConditionalGeneration
3de7362 -
initial commit
df8e765