Translation
Transformers
Safetensors
urj
English
marian
windyword
uralic
finnish
estonian
hungarian
sami
english
Instructions to use WindyWord/translate-urj-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-urj-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-urj-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-urj-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e6893c1f3ead0c228a76051bc6937ce1d3a21b9596e4a33d1cc792cf4ff49f4
- Size of remote file:
- 793 kB
- SHA256:
- b95a4abdf5e915c166f0c047facaf0f1f050454613c794fb8174de364f01d12e
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