Instructions to use Helsinki-NLP/opus-mt-bnt-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-bnt-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-bnt-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-bnt-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-bnt-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24c429b196277146ad4c742d4dc97e94950c784b4ba32fc66b2a0b853b5ad130
- Size of remote file:
- 305 MB
- SHA256:
- 9484324a67bbb072d3c9e06fb77427fd60f7f4868876073a064f651d72064fee
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