Instructions to use Helsinki-NLP/opus-mt-itc-itc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-itc-itc 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-itc")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-itc-itc") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-itc-itc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62baaf2172cb9153be09a618e3d2d436ffe63fe0137ec04c7a9556ac94de7e7e
- Size of remote file:
- 254 MB
- SHA256:
- fb9ce234f8fe2a30bb1631d0cc4567114ba361f71d68c9d6a46621273260f4dd
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