Instructions to use Helsinki-NLP/opus-mt-itc-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-itc-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="Helsinki-NLP/opus-mt-itc-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-itc-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-itc-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download target.spm from Helsinki-NLP/opus-mt-itc-en: direct link, hf CLI and curl.
- Browser
- Download file 787 kB
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https://huggingface.co/Helsinki-NLP/opus-mt-itc-en/resolve/main/target.spm
- Command line
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hf download hf://Helsinki-NLP/opus-mt-itc-en/target.spm
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curl -L -o target.spm https://huggingface.co/Helsinki-NLP/opus-mt-itc-en/resolve/main/target.spm
787 kB
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