Instructions to use WindyTranslate/translate-ln-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-ln-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-ln-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-ln-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-ln-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-ln-en, with attribution and change statement
5eaeab4 verified - Xet hash:
- 3d85775c045748159edbed59d35b0e5b168776e91337912efa97f8cabcb42d56
- Size of remote file:
- 811 kB
- SHA256:
- 0190097dd728e51ab64a0ae4d29f8316ec833c516cc22689d1c58e921d48934a
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