Instructions to use WindyTranslate/translate-de-ig with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-de-ig 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-de-ig")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-de-ig") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-de-ig", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from WindyTranslate/translate-de-ig: direct link, hf CLI and curl.
- Browser
- Download file 862 kB
-
https://huggingface.co/WindyTranslate/translate-de-ig/resolve/main/source.spm
- Command line
-
hf download hf://WindyTranslate/translate-de-ig/source.spm
-
curl -L -o source.spm https://huggingface.co/WindyTranslate/translate-de-ig/resolve/main/source.spm
862 kB
- Xet hash:
- fb1a2876344e74e1e9aae61e66e278684b3a1fad1a201e3879b7065f74c96035
- Size of remote file:
- 862 kB
- SHA256:
- e7fd188dda50ad2f61967ecbec3561d3f49c316527e4f051e0bdb9c1a1db682e
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