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 lora/target.spm from WindyWord/translate-sv-lv: direct link, hf CLI and curl.
- Browser
- Download file 838 kB
-
https://huggingface.co/WindyWord/translate-sv-lv/resolve/main/lora/target.spm
- Command line
-
hf download hf://WindyWord/translate-sv-lv/lora/target.spm
-
curl -L -o target.spm https://huggingface.co/WindyWord/translate-sv-lv/resolve/main/lora/target.spm
838 kB
- Xet hash:
- fbdca3cd2ae6ad147b049adc420109951d296178c514cec37180533fdeda02e1
- Size of remote file:
- 838 kB
- SHA256:
- 1d29680444973a68e0d012f9e62544656371272681809664dd48afbb7337be1c
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