Instructions to use WindstormLabs/translate-lg-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lg-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-lg-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lg-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0aabf9041d33c40ae2c3eca402ac402a16717ee563be88c943dc4e2c815a8d31
- Size of remote file:
- 77.2 MB
- SHA256:
- eb63c16a69a0c040865c82e70106d8c27fb1a353d77a1482095c0db3e006fdbc
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