Instructions to use WindyTranslate/translate-sv-rw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-rw 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-rw")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-rw") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-rw", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sv-rw, with attribution and change statement
0ad8eff verified - Xet hash:
- 0312a922b0e1da8ad0f5242dbeed928c0aae33e82c184b42db042b7516c64527
- Size of remote file:
- 849 kB
- SHA256:
- 358239f594a79b162de99dd219d8df847f679c84bd209e5b5ec325ccfcf74a57
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