Instructions to use Helsinki-NLP/opus-mt-sem-sem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-sem-sem 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-sem-sem")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-sem-sem") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-sem-sem") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53c55c67a68aefe71dfe47d13b83faa66e5e48b563d229e4cd8190fc6850b7b4
- Size of remote file:
- 248 MB
- SHA256:
- 634a7a922c855b74f3766ca5449ccf73df23c37ff2c3a7fc7c925d9d9e27e482
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