Instructions to use Helsinki-NLP/opus-mt-ca-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ca-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-ca-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ca-it") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ca-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 352257cf65d4549fb3f8bf6ece5a8c9267b13223a5ac32dfb7a09f901751722f
- Size of remote file:
- 223 MB
- SHA256:
- 32714512b0cd946f789e45eabda385809ac8747bc572ceec2e697e1fe4295fe6
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