Instructions to use WindyTranslate/translate-uk-sh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-uk-sh 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-sh")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-uk-sh") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-uk-sh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-uk-sh, with attribution and change statement
9c53e26 verified - Xet hash:
- 0900966d8a1b324d7255cdaba0d0fe80ba2c5718dd442f56477f80a4819185fe
- Size of remote file:
- 1.03 MB
- SHA256:
- 78830a6628f2709e48a81c336eab7e1533d5649626748b3e1e86a7dc394a18d7
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