Instructions to use Helsinki-NLP/opus-mt-en-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-it 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-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-it") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-it", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b18c84c665c113b934f0043963ff6c0e282953e987ad04cd33edcd2efbf7666
- Size of remote file:
- 343 MB
- SHA256:
- 1decb91168d69a3018363d61bc7130155a2821f949e74a40b66788b5bc07d7d1
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