Instructions to use Helsinki-NLP/opus-mt-en-zls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-zls 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-zls")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-zls") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-zls", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ca372390836c8ef6aea0e32ec2172b55794872b4a3110629df4e8be1c0ed60d
- Size of remote file:
- 297 MB
- SHA256:
- b2ac522e84b2f2e84d5b7ac2f285a65df352d2afeb5734518e057f2b41b4fc00
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