Instructions to use Nextcloud-AI/opus-mt-es-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-es-nl 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-es-nl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-es-nl") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-es-nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e09b16c15201a83d99ed0adfa6321260ec7ec22d639c7cc3bd8c259eb0db696
- Size of remote file:
- 298 MB
- SHA256:
- a232d562fb6dcd403be617a11186f5c1cb6e5325b2bf0b82eecfcc1fb200bb54
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