Instructions to use raphaelmerx/ko-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelmerx/ko-en 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="raphaelmerx/ko-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("raphaelmerx/ko-en") model = AutoModelForSeq2SeqLM.from_pretrained("raphaelmerx/ko-en") - Notebooks
- Google Colab
- Kaggle
Commit ·
f049402
1
Parent(s): 1a18161
Add tflite model
Browse files- ko_en_3_sigs.tflite +3 -0
ko_en_3_sigs.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:28da0baa310c3f00ebd2335c883474a2eed55c7a0fbd4838e5c2433f33f234ad
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size 20115992
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