Translation
Transformers
Safetensors
English
urj
marian
windyword
english
uralic
finnish
estonian
hungarian
sami
Instructions to use WindyWord/translate-en-urj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-en-urj 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-en-urj")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-en-urj", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1912112eb794d26b87dda80bae87b20a6bba7d6e4b58a4be8b474011ae74e5b7
- Size of remote file:
- 828 kB
- SHA256:
- 886f337af75d0744daa0b7f7c58aa42fd1dbd13f693d58709c73743a9000e09d
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