Instructions to use WindyTranslate/translate-sv-sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-sg 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-sv-sg")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-sg") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-sg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sv-sg, with attribution and change statement
ece77c2 verified - Xet hash:
- 2a6cbc0ad502585e11153b36e21f97e23257e3c48621e216a9b12b80da9d76da
- Size of remote file:
- 851 kB
- SHA256:
- 40b7df41597c927d68f66d8998bafcd6ceea3e781fcf877494207f2b55b90b22
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