Instructions to use Helsinki-NLP/opus-mt-it-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-it-de 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-it-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-it-de") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-it-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cea24b49d9501c572b7afc164bef1be6bdc7a33f5aa10c47c8936c08d0e121df
- Size of remote file:
- 302 MB
- SHA256:
- 61a1d631be8f9f39472215c2c6dada2f1685c9514c7c00bec7fa928688a66009
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