Instructions to use WindyTranslate/translate-ms-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-ms-de 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-ms-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-ms-de") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-ms-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote herm0 build from WindstormLabs/translate-ms-de, with attribution and change statement
f55aef4 verified - Xet hash:
- 667168004214debdbd92e6628a9c59defe54d379973786adf5ac27480455a164
- Size of remote file:
- 812 kB
- SHA256:
- ed0236edcb172472f0b26295279a696f22340ec829b746dc8a387b411997a8c2
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