Instructions to use Nextcloud-AI/opus-mt-en-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-en-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-en-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-en-es") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-en-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d64fd449aebb20bfaa8863d186420c8bb552caf3610ef24a000c8fd74132151
- Size of remote file:
- 310 MB
- SHA256:
- 14b5e0865da9b6764e18b637e7c7e34b04be927dc41a1ba97bff23962c2f5857
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