Instructions to use linguardia/opus-mt-en-shi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use linguardia/opus-mt-en-shi 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="linguardia/opus-mt-en-shi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("linguardia/opus-mt-en-shi") model = AutoModelForSeq2SeqLM.from_pretrained("linguardia/opus-mt-en-shi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e556a1711619bd61a1bb5cf295c70638eecd1483305d6b5d1090021cd52faada
- Size of remote file:
- 308 MB
- SHA256:
- 516855ca0e57bd798a0ecf54a7af7b7bb7eb6864109500d1a29a0567d468c54c
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