Instructions to use WindyTranslate/translate-sg-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sg-fi 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-sg-fi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sg-fi") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sg-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sg-fi, with attribution and change statement
90faff6 verified - Xet hash:
- ae63242aadb72cf50c81f732ee17a0a58e22065f17b9ce2cb26986601cd79f34
- Size of remote file:
- 533 kB
- SHA256:
- a2d810b81a3e43f8bc1ba4783e269d86265f4dbce7c2f58a3b67cdf82cafd5e3
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