Instructions to use WindyTranslate/translate-tr-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-tr-uk 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-tr-uk")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-tr-uk") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-tr-uk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-tr-uk, with attribution and change statement
afa9367 verified Download source.spm from WindyTranslate/translate-tr-uk: direct link, hf CLI and curl.
- Browser
- Download file 859 kB
-
https://huggingface.co/WindyTranslate/translate-tr-uk/resolve/main/source.spm
- Command line
-
hf download hf://WindyTranslate/translate-tr-uk/source.spm
-
curl -L -o source.spm https://huggingface.co/WindyTranslate/translate-tr-uk/resolve/main/source.spm
859 kB
- Xet hash:
- 931f5f54fdfec22ea46fa58b9f5b5c21299b1007c24d19a4769db7ebc1908a95
- Size of remote file:
- 859 kB
- SHA256:
- fa510862410e581cdf1bda407965b8b69a050116421a99e2cb425ef7e57665c7
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