Instructions to use Nextcloud-AI/opus-mt-zh-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-zh-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-zh-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-zh-it") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-zh-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbba447ca6c6e1923e41e7f72b477f5bda09c3ad82df2fc0ea7e1d86c2008af5
- Size of remote file:
- 312 MB
- SHA256:
- 5fd9cd5094e6780b8c3b0dffc83c5fae559cc6802a38a56e2e0c5ed1126630a6
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