Instructions to use WindyTranslate/translate-ja-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-ja-pt 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-ja-pt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-ja-pt") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-ja-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote herm0 build from WindstormLabs/translate-ja-pt, with attribution and change statement
93511f1 verified - Xet hash:
- d986c154b2313e8bd98ab843ceecd1d04cfe32ea63620cab3f014f4c10aaa1b0
- Size of remote file:
- 837 kB
- SHA256:
- 0630d29411a55494971cae374c58e738131abc9e3d7df926615c14905252c985
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