Instructions to use WindyWord/translate-tc-big-lv-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-tc-big-lv-en 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-tc-big-lv-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tc-big-lv-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download lora/source.spm from WindyWord/translate-tc-big-lv-en: direct link, hf CLI and curl.
- Browser
- Download file 835 kB
-
https://huggingface.co/WindyWord/translate-tc-big-lv-en/resolve/main/lora/source.spm
- Command line
-
hf download hf://WindyWord/translate-tc-big-lv-en/lora/source.spm
-
curl -L -o source.spm https://huggingface.co/WindyWord/translate-tc-big-lv-en/resolve/main/lora/source.spm
835 kB
- Xet hash:
- d24232d498b28b3796571314e725497c77927c10070c8caa526bcad2e0eac2d4
- Size of remote file:
- 835 kB
- SHA256:
- 153290d0c57d51a9f248dad5b53ff41e955cc375f155d4b550e903a48e0b964b
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