Instructions to use WindyTranslate/translate-he-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-he-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-he-de")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-he-de") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-he-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from WindyTranslate/translate-he-de: direct link, hf CLI and curl.
- Browser
- Download file 893 kB
-
https://huggingface.co/WindyTranslate/translate-he-de/resolve/main/source.spm
- Command line
-
hf download hf://WindyTranslate/translate-he-de/source.spm
-
curl -L -o source.spm https://huggingface.co/WindyTranslate/translate-he-de/resolve/main/source.spm
893 kB
- Xet hash:
- c33ea9e9769a860fbb1947d4b8e7612fd444f98e76d1753fe3375900dd4e9aac
- Size of remote file:
- 893 kB
- SHA256:
- d58e3cddc372ceb9d56f8564ff07601a3c0fbca5d214189001ef3c174e40ee98
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