Instructions to use WindyTranslate/translate-uk-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-uk-es 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-uk-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-uk-es") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-uk-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-uk-es, with attribution and change statement
1e6546b verified - Xet hash:
- 35d988125423062cc722cde40129a0c92ad598276a39f8de89558949d2d54984
- Size of remote file:
- 1.01 MB
- SHA256:
- 849d7708079dd2b304f27f0b4abdb647d1d0108a8f291328a41a6e26eb0b55d5
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