Instructions to use WindyTranslate/translate-en-el with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-en-el 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-en-el")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-en-el") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-en-el", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da36f248d6ac930a8a13007a6359e0ff6b8341b31e0caa4b9539c8a6beb5a542
- Size of remote file:
- 787 kB
- SHA256:
- 325d720fb20f68c932d474d5e0de2576e9c8ccc78a822c997f0b724bda4d9727
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