Instructions to use WindyWord/translate-yap-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-yap-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-yap-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-yap-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dade6ed103b1898342327019f6c219732de1fc9a849da698aac2f45d18a504d5
- Size of remote file:
- 67.4 MB
- SHA256:
- 42b54e9c77aa285a44d3ada668b96ab29a7f46e7406311032eff34763581960c
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