Instructions to use Helsinki-NLP/opus-mt-en-bnt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-bnt 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-bnt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-bnt") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-bnt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e1e5c2d621b0a203e732193366b5c8c7c2bfe8b0f3800dd3739b5e768622664
- Size of remote file:
- 305 MB
- SHA256:
- 88205f87a38fea8baa6e36d2b5de05b6ee9f6ccfb92e17e01c12101116c0aee4
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