Instructions to use Nextcloud-AI/opus-mt-en-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-en-it 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-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-en-it") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-en-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9109a22c22c5cf2f101c603cf128618652d42015434eb0fd811cba4bc96ea658
- Size of remote file:
- 343 MB
- SHA256:
- 1decb91168d69a3018363d61bc7130155a2821f949e74a40b66788b5bc07d7d1
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