Translation
Transformers
Safetensors
English
Korean
m2m_100
text2text-generation
nllb
nmt
korean
warmly
pilot
Instructions to use neureps/warmly-nmt-nllb600-enko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neureps/warmly-nmt-nllb600-enko 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="neureps/warmly-nmt-nllb600-enko")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("neureps/warmly-nmt-nllb600-enko") model = AutoModelForSeq2SeqLM.from_pretrained("neureps/warmly-nmt-nllb600-enko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb52fe9c54c4cc09dd94e8e28b210fc01418a3ad09944c140703990116bcafde
- Size of remote file:
- 32.2 MB
- SHA256:
- a944b92fc7d32cbcd5d7ce8ec83ab22c2541ddf7bf48f17d855992f70f04fce4
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