Instructions to use Helsinki-NLP/opus-mt-en-nic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-nic 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="Helsinki-NLP/opus-mt-en-nic")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-nic") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-nic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3aec006bb91b03d3a39e20bdf0ec2a1313ebaffa56b1d9ebf7095b34121fe152
- Size of remote file:
- 305 MB
- SHA256:
- 3fa3daf24dddd1bb732f4599c8d4040e034bb72410af8e088f8781af0cf4462d
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