Instructions to use Helsinki-NLP/opus-mt-de-lua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-de-lua 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-lua")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-de-lua") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-de-lua") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10ef02f428efa3494546ce66d18c90ae46b7c03b21d5f15bbdf436d7639cc726
- Size of remote file:
- 304 MB
- SHA256:
- d27be7e32baab2309c2f6929c37476b5c430bca9319904a29bfee22f3603ad4a
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