Instructions to use WindyTranslate/translate-sk-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sk-fi 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-sk-fi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sk-fi") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sk-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sk-fi, with attribution and change statement
9d7a49f verified - Xet hash:
- c54c6541331faafc88c4d0d70eacab46c6a456399e6865e3fc771567e8f30ca1
- Size of remote file:
- 827 kB
- SHA256:
- d8c52c4710369fdcec6c67fb4bfd425a327834f320bd44e081e6803589b96379
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