Instructions to use WindyWord/translate-sv-lv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-lv 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-sv-lv")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-lv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download herm0-ct2-int8/model.bin from WindyWord/translate-sv-lv: direct link, hf CLI and curl.
- Browser
- Download file 76 MB
-
https://huggingface.co/WindyWord/translate-sv-lv/resolve/main/herm0-ct2-int8/model.bin
- Command line
-
hf download hf://WindyWord/translate-sv-lv/herm0-ct2-int8/model.bin
-
curl -L -o model.bin https://huggingface.co/WindyWord/translate-sv-lv/resolve/main/herm0-ct2-int8/model.bin
76 MB
- Xet hash:
- 01cb6243fbde270a3758bcad6c87a33474c0ac9ecff1ae938e9323d6b76e145a
- Size of remote file:
- 76 MB
- SHA256:
- bc6ade6ea85e344760312eefb9f2aa91271c814cf7c877deb20034b25b823276
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