Instructions to use WindyTranslate/translate-ru-sl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-ru-sl 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-ru-sl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-ru-sl") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-ru-sl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-ru-sl, with attribution and change statement
1028160 verified - Xet hash:
- dc775f315a0c30e2dc39c409766ce94e0bb21229b5521f41103b9bf17a0301e1
- Size of remote file:
- 1.02 MB
- SHA256:
- e2210ac55ca59599ad893ebe6de47209cfd9b4289a76c0086b93d4dc10b89f8a
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