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:
- de34aa6664f445599e6f40c700f7ad70bfe27818eeda7bcd3ecfa3874c013211
- Size of remote file:
- 75.7 MB
- SHA256:
- 260f931b5dea934015d76e1c904e9f886114540c51988b101a899cb8e8f0d05e
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