Instructions to use Nextcloud-AI/opus-mt-zh-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-zh-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-zh-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-zh-en") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-zh-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5057a9d1a520391645894702db851488d9c397a6e11eb2e38c0f911d15f2b71b
- Size of remote file:
- 312 MB
- SHA256:
- 9d8ceb91d103ef89400c9d9d62328b4858743cf8924878aee3b8afc594242ce0
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