Instructions to use Helsinki-NLP/opus-mt-zlw-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-zlw-en 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-zlw-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-zlw-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-zlw-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ff7ee0b00b16a651b901846f67c7d00c5aaee98209ad6829e8f3b1ce3dd6ea6
- Size of remote file:
- 298 MB
- SHA256:
- 478abde5a0a7e3df59fea7490882a3ac246c46d1ef1444698b809cc994a21071
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