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-ct2-int8/model.bin from WindyWord/translate-tc-big-lv-en: direct link, hf CLI and curl.
- Browser
- Download file 241 MB
-
https://huggingface.co/WindyWord/translate-tc-big-lv-en/resolve/main/lora-ct2-int8/model.bin
- Command line
-
hf download hf://WindyWord/translate-tc-big-lv-en/lora-ct2-int8/model.bin
-
curl -L -o model.bin https://huggingface.co/WindyWord/translate-tc-big-lv-en/resolve/main/lora-ct2-int8/model.bin
241 MB
- Xet hash:
- 004212533af46027fe909d8345dc125d01d47d75e40fa75f93ddb1160d0d6f73
- Size of remote file:
- 241 MB
- SHA256:
- 21746e3c5202cf3bd018dfdaa860aa496777d0fc89f2f6afe1b2d41c443900e4
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