Instructions to use WindyTranslate/translate-lus-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-lus-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-lus-fi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-lus-fi") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-lus-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-lus-fi, with attribution and change statement
a38bdca verified - Xet hash:
- 5bfac0df4aaee74c9157fa01ee10ef29014f1d2d7598e1e7f7c11f0d4b170315
- Size of remote file:
- 667 kB
- SHA256:
- 85910b412d2638bd0c8fcc95bd37c1e56a0e26ff66e206dabc4f5773003c296f
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