Instructions to use Nextcloud-AI/opus-mt-it-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-it-sv 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-it-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-it-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-it-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a820e09247b3eb1d5cfec8dcfe9af20d9e7b37e8e3967b02c83ee86aa4ef821c
- Size of remote file:
- 298 MB
- SHA256:
- 18e6046ef175288b963b402db4dcd61e6677a71f95d9c4cd16c324577ad900d0
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