Instructions to use WindstormLabs/translate-en-ee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-ee 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-en-ee")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ee", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba23a73214a778a41e8ce61e256eb442accc4a0cb93760b0b903663d34614937
- Size of remote file:
- 824 kB
- SHA256:
- f183389c6fab3df8a90239b92146f07f595241c40c7fa034cf5a0bc4d78cca29
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