Instructions to use Helsinki-NLP/opus-mt-it-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-it-es 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-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-it-es") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-it-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c71256211f7fa4d4540fe41b14770ddaea8dcae49c48d79bbea6833f3063a5f4
- Size of remote file:
- 300 MB
- SHA256:
- dac9a882a3a15c15302afefd2dbe39db80189f9e47a36add36bb52adea08a0eb
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