Instructions to use Helsinki-NLP/opus-mt-zlw-fiu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-zlw-fiu 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-fiu")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-zlw-fiu") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-zlw-fiu") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe80e93b6c8b6d437d3f09bbc31c76ee7d7873d123ffd65cbb42303905843ad5
- Size of remote file:
- 150 MB
- SHA256:
- 91a7105b063ad33c6f8daba99ed150bf63f59e2aa6fc98d90bdef774321bd700
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