Instructions to use WindyTranslate/translate-lua-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-lua-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-lua-fi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-lua-fi") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-lua-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-lua-fi, with attribution and change statement
254716b verified - Xet hash:
- 591dd830eaa31a755aebdd74ce82d204218697bef0fedb32e709fa1adae76540
- Size of remote file:
- 823 kB
- SHA256:
- 681ecb6b1968715f5c62ef7c6139b64f2d669022566ee8010f56e2b4be1b9685
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