Instructions to use WindyTranslate/translate-pl-lt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-pl-lt 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-pl-lt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-pl-lt") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-pl-lt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote herm0 build from WindstormLabs/translate-pl-lt, with attribution and change statement
3380d7b verified - Xet hash:
- b225369f3a6383c61757e20f7dcd3c1542626d88e7cc4ac4deb48c2068352aba
- Size of remote file:
- 849 kB
- SHA256:
- 3514eebf4448bed5d46e7c57e0ecd0bfdf87fcae6e5a8d0fe68ef4c05c71d8c7
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