Translation
Transformers
PyTorch
TensorBoard
bart
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use chunwoolee0/circulus-kobart-en-to-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chunwoolee0/circulus-kobart-en-to-ko with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="chunwoolee0/circulus-kobart-en-to-ko")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chunwoolee0/circulus-kobart-en-to-ko") model = AutoModelForSeq2SeqLM.from_pretrained("chunwoolee0/circulus-kobart-en-to-ko") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f152775670be82652e17d1e25cab3793338642762846aebec8b6bcc461459a18
- Size of remote file:
- 4.16 kB
- SHA256:
- 6ce4454b40d9a93d719c003791e57b6de15630f14acc14426079dcc12d4127f1
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