Instructions to use Helsinki-NLP/opus-mt-ig-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ig-de 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-ig-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ig-de") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ig-de") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7862cbf82216f0f761938d2e26269cf9d3a19bf83c5786891706aeb0881c0152
- Size of remote file:
- 302 MB
- SHA256:
- 2cbb469cf43187ac5df66984ab01e7e3800ae24293be1c6abd8177681279f4dc
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