Instructions to use Helsinki-NLP/opus-mt-de-pis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-de-pis 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-pis")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-de-pis") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-de-pis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f7e2fc9777a5eb91928b54e150e06b311fe6ec1ab89cb8f9ac0746d3e1c385c
- Size of remote file:
- 279 MB
- SHA256:
- 43fec978b7067e8e9bfe73e806ddb278b2d23c8bb895eee97ce47bf8e4bbab43
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