Instructions to use entity2260/opus_en_zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use entity2260/opus_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="entity2260/opus_en_zh")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("entity2260/opus_en_zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from entity2260/opus_en_zh: direct link, hf CLI and curl.
- Browser
- Download file 310 MB
-
https://huggingface.co/entity2260/opus_en_zh/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://entity2260/opus_en_zh/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/entity2260/opus_en_zh/resolve/main/flax_model.msgpack
310 MB
- Xet hash:
- 643af1ee452a9a8fa6428a7c4ff34b25c33b3105d23b822304f5ae4d44c63a44
- Size of remote file:
- 310 MB
- SHA256:
- de82e23a535e25896ebdf433ec2b72706a428fb8e47bb87ef72531426edee8c3
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