Instructions to use Helsinki-NLP/opus-mt-no-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-no-nl 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-no-nl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-no-nl") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-no-nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5161089fcd32046af349c59314bfcb8feb721b0a7ca808e2f28c005ffea158b1
- Size of remote file:
- 193 MB
- SHA256:
- e4197177a4122fa6798b604879bfe76fa37827b8c1fb13e454527d7a95039244
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