Instructions to use Helsinki-NLP/opus-mt-ccs-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ccs-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-ccs-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ccs-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ccs-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d27b07062275d1588148e9b11d0490abff0de42cf11599c9d70c92b0da9fd081
- Size of remote file:
- 226 MB
- SHA256:
- bbef481ef62f9b30897c26b6d1ccad08517b1a2240ab32fbae73df37818c6869
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