Instructions to use WindyTranslate/translate-yo-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-yo-sv 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-yo-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-yo-sv") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-yo-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-yo-sv, with attribution and change statement
c3a73fe verified - Xet hash:
- 8ba7d127873753eb4c64f98efc58fa931e0056edf84743395a46a84753fb58d4
- Size of remote file:
- 791 kB
- SHA256:
- e12120c572ae9c97ad4fa6a5d48e0811bf5f4abc31f45b4eb0a3c6cac2090f57
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