Instructions to use Helsinki-NLP/opus-mt-en-map with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-map 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-map")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-map") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-map", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 535326d60e38d5bc7ad9f37eaa6e403bebcbb36a9e1c2063532a3346c920e33e
- Size of remote file:
- 302 MB
- SHA256:
- d08e22cd57b693235aa17f05c1c425ab38e1ef9dcecd9263919f483f1dc81399
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