Instructions to use Nextcloud-AI/opus-mt-it-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-it-en 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-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-it-en") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-it-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7739aae6fe09253caa2ef0db2a4812c5b823b9240c082f77e277e28b829a328
- Size of remote file:
- 344 MB
- SHA256:
- 7b16287e467858b369c477d39498427197500a6b477e3d76c2fbcc54d915d8f3
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