Instructions to use WindyTranslate/translate-sv-war with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-war 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-war")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-war") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-war", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sv-war, with attribution and change statement
268d59b verified - Xet hash:
- 595f50e72f77ab5ad6ed2c1628ffa989a7cdf21cf5d9d0e3835737ea326a0865
- Size of remote file:
- 853 kB
- SHA256:
- c1c6e29a7986074989dfa51ec8be359ad6851130d6ce98a411619745900bc054
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