Instructions to use WindstormLabs/translate-sv-lua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-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="WindstormLabs/translate-sv-lua")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-lua", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download herm0/source.spm from WindstormLabs/translate-sv-lua: direct link, hf CLI and curl.
- Browser
- Download file 854 kB
-
https://huggingface.co/WindstormLabs/translate-sv-lua/resolve/main/herm0/source.spm
- Command line
-
hf download hf://WindstormLabs/translate-sv-lua/herm0/source.spm
-
curl -L -o source.spm https://huggingface.co/WindstormLabs/translate-sv-lua/resolve/main/herm0/source.spm
854 kB
- Xet hash:
- a4254ae58bd6fb444223b8d86160e19e7245271978b2f61fbe75ba3f2975fe30
- Size of remote file:
- 854 kB
- SHA256:
- 30beda1431fe8eb72779d21c47117e7456e03aaa1c6e1c0fa034c02888ce8b31
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