Instructions to use WindyTranslate/translate-cau-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-cau-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="WindyTranslate/translate-cau-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-cau-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-cau-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d1901a03ce888c7437e6bc9c803f22c812c28147e19a96d12abd4c4d2eda8a0
- Size of remote file:
- 1.14 MB
- SHA256:
- 08302b06bbbe4a48a71ab5239e70f26518f1ad13907dacba404c0abd8d3066b1
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