Instructions to use WindstormLabs/translate-az-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-az-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="WindstormLabs/translate-az-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-az-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a7f25075d423771724835a973049bb78eafc1ddf013e183d9fc9e8ddeaa99bf
- Size of remote file:
- 470 kB
- SHA256:
- 8ab89675c0a8a2dcadc569b765348fb62d547d084515d8dc704e3b58e7848de9
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