Instructions to use WindyTranslate/translate-sv-bi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-bi 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-bi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-bi") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-bi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sv-bi, with attribution and change statement
451d15f verified - Xet hash:
- 94ff333e2c00b08a252f4e9b73eb6c7d6fcd86707099ccb0a7106c89b2524b8a
- Size of remote file:
- 859 kB
- SHA256:
- e33e6aacc32fefc600e42b966dc26fd3c2787af47a7742accc6c8102c8ec9c5c
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