Instructions to use WindyTranslate/translate-sl-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sl-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-sl-uk")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sl-uk") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sl-uk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sl-uk, with attribution and change statement
f9c5269 verified - Xet hash:
- 0447b56866a3ccf853ad4c6a2fbba457491ba41370e167f84ac929b4248ef8ea
- Size of remote file:
- 836 kB
- SHA256:
- f6b4ad89a1b4b5491723531ca849311a594c5e65a226c4c564c6802e4399ac2a
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