Instructions to use WindyWord/translate-ilo-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ilo-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="WindyWord/translate-ilo-de")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ilo-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download lora/source.spm from WindyWord/translate-ilo-de: direct link, hf CLI and curl.
- Browser
- Download file 850 kB
-
https://huggingface.co/WindyWord/translate-ilo-de/resolve/main/lora/source.spm
- Command line
-
hf download hf://WindyWord/translate-ilo-de/lora/source.spm
-
curl -L -o source.spm https://huggingface.co/WindyWord/translate-ilo-de/resolve/main/lora/source.spm
850 kB
- Xet hash:
- f2fd420808e69bb8048725b5f5d552dd0d9465278b514621735758ef5dc3ae63
- Size of remote file:
- 850 kB
- SHA256:
- 3f26d782ea4050323ebfca19667d555ebbd1aea1aa241b62c743d56b2344bbb9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.