Instructions to use fengtc/opus-mt-en-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fengtc/opus-mt-en-zh 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="fengtc/opus-mt-en-zh")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fengtc/opus-mt-en-zh") model = AutoModelForSeq2SeqLM.from_pretrained("fengtc/opus-mt-en-zh") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 643af1ee452a9a8fa6428a7c4ff34b25c33b3105d23b822304f5ae4d44c63a44
- Size of remote file:
- 310 MB
- SHA256:
- de82e23a535e25896ebdf433ec2b72706a428fb8e47bb87ef72531426edee8c3
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