Instructions to use WindyWord/translate-de-lua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-de-lua 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-de-lua")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-de-lua", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download lora-ct2-int8/model.bin from WindyWord/translate-de-lua: direct link, hf CLI and curl.
- Browser
- Download file 77.4 MB
-
https://huggingface.co/WindyWord/translate-de-lua/resolve/main/lora-ct2-int8/model.bin
- Command line
-
hf download hf://WindyWord/translate-de-lua/lora-ct2-int8/model.bin
-
curl -L -o model.bin https://huggingface.co/WindyWord/translate-de-lua/resolve/main/lora-ct2-int8/model.bin
77.4 MB
- Xet hash:
- 0955bd4c1223b9cff49d8f49a711a3ee0567939a2b60a575870bdeaa630750e7
- Size of remote file:
- 77.4 MB
- SHA256:
- db9aa13f2e53fb58822d4588f7657ee9555d1628018c8d220b0704b9927aa142
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