Instructions to use Helsinki-NLP/opus-mt-zle-zle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-zle-zle 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-zle-zle")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-zle-zle") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-zle-zle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eae85a2d159f95bc6280457a5f9ea274e0b91e0df06dc90e225c20d64b682378
- Size of remote file:
- 248 MB
- SHA256:
- 1c2855ffd7d34ed5af35f420bb9e5a30d7cf6959ed68065a8c6c5c362109b301
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