Instructions to use WindyWord/translate-tn-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-tn-fr 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-tn-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tn-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa79d8d8ff4b2c4af1264521e2b06b0d96037a58a19c24b4d481e9935600d631
- Size of remote file:
- 829 kB
- SHA256:
- 5ddf21463d39571419570d4e78c18af325facaf63244c36176586fe509d24da1
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