Instructions to use Tritkoman/Interlinguetranslator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tritkoman/Interlinguetranslator 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="Tritkoman/Interlinguetranslator")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tritkoman/Interlinguetranslator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Tritkoman/Interlinguetranslator: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/Tritkoman/Interlinguetranslator/resolve/main/tokenizer.json
- Command line
-
hf download hf://Tritkoman/Interlinguetranslator/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Tritkoman/Interlinguetranslator/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 301b47509ca4c972cf4f5591a3d55e94fa6976cff24afa926721a472c5e18210
- Size of remote file:
- 16.3 MB
- SHA256:
- c16a691e78a3acdc36051bafeda04b83c7390133f16c34a08660f4d2dde72df3
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