Instructions to use Helsinki-NLP/opus-mt-bcl-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-bcl-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-bcl-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-bcl-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-bcl-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-bcl-en: direct link, hf CLI and curl.
- Browser
- Download file 299 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-bcl-en/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-bcl-en/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-bcl-en/resolve/main/pytorch_model.bin
299 MB
- Xet hash:
- 6ca522d35c20796ab1d56c0b1cae9114581596fea2cf1df229a9cf6a0a95cd7c
- Size of remote file:
- 299 MB
- SHA256:
- f3ad971d7ccbae35ec79b453f7771e26dd58304512c7c4881141ee2daebc1571
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