Instructions to use WindyTranslate/translate-it-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-it-eo 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-it-eo")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-it-eo") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-it-eo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a79f00531192b1d35f9d3b9b9908793d91bf5128d680ef8850d59cd07c1e82df
- Size of remote file:
- 305 kB
- SHA256:
- fb9459dbde7d27f01f796ffc83e5ab0bbe74de01b3011c32cb2e7587e9e09c8f
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