Instructions to use Helsinki-NLP/opus-mt-de-pap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-de-pap 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-de-pap")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-de-pap") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-de-pap", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40bc6edb885bfb938662dd7bb770b6dbfe0e5bfcb29679c1da51bc8ee9ae9d3b
- Size of remote file:
- 302 MB
- SHA256:
- c8d786c9b6beb52db577ef70714e8af0f1c22bbd5814897c5e55257372461905
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