Instructions to use WindyWord/translate-lv-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-lv-ru 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-lv-ru")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-lv-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download herm0-ct2-int8/shared_vocabulary.json from WindyWord/translate-lv-ru: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/WindyWord/translate-lv-ru/resolve/main/herm0-ct2-int8/shared_vocabulary.json
- Command line
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hf download hf://WindyWord/translate-lv-ru/herm0-ct2-int8/shared_vocabulary.json
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curl -L -o shared_vocabulary.json https://huggingface.co/WindyWord/translate-lv-ru/resolve/main/herm0-ct2-int8/shared_vocabulary.json
2.37 MB
File too large to display, you can check the raw version instead.