Instructions to use sionic-ai/nllb-200-ko-gec-3.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sionic-ai/nllb-200-ko-gec-3.3B 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="sionic-ai/nllb-200-ko-gec-3.3B")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sionic-ai/nllb-200-ko-gec-3.3B") model = AutoModelForSeq2SeqLM.from_pretrained("sionic-ai/nllb-200-ko-gec-3.3B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd3205f3d12dd52efe0d305d71ea435d03cb299f3e1ca80113e28d911e2311f2
- Size of remote file:
- 17.3 MB
- SHA256:
- 0924247ea575a47ab330d26a6a92d7ee0b9622d1971295c9844c0a12b5328e84
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