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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tritkoman/Interlinguetranslator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f928128e5c32cb3610edc6c1ed325da98a61413b0d5a2621271e911823ade0e
- Size of remote file:
- 4.92 GB
- SHA256:
- b5f6d06d53a1478f26e98b2121aed62191c0efae8f76479a7434e5bca80e9703
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