Instructions to use WindyTranslate/translate-urj-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-urj-en 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-urj-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-urj-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-urj-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-urj-en, with attribution and change statement
c44385d verified - Xet hash:
- 45e9d7fc9e9f1cd965ed3d60dadbe6d236a5b28e81deffbb26aa4098edc88d30
- Size of remote file:
- 828 kB
- SHA256:
- 68adeab24f47c180d9a164d3eab53abd5fa1a1f86578861b425182db56fcda49
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