Instructions to use Nextcloud-AI/opus-mt-sv-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-sv-es 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="Nextcloud-AI/opus-mt-sv-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-sv-es") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-sv-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7b8ef58caf5bffcb695c2298951302c5e45f8bcfe0ba1b5ab27c6f73493172e
- Size of remote file:
- 298 MB
- SHA256:
- c00b333f57785c59ff20885d63dcb8f7a3b1fda303007269c46e1fcbe5cdd86b
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