Instructions to use WindyTranslate/translate-lt-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-lt-pl 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-lt-pl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-lt-pl") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-lt-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-lt-pl, with attribution and change statement
59aff48 verified - Xet hash:
- df231c98591efb58a4f517e8ebea3f3d700576ece2789f6c37719a2f1ce84983
- Size of remote file:
- 837 kB
- SHA256:
- 93c13ce53d600d7da10559e1544d83bcfff3e3ef2021e3ad8cbdd34d2f7425c2
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