Instructions to use WindstormLabs/translate-en-gl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-gl 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-gl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-gl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc4c84d7fbda9cd211a5a0e53b0206b5b78b730ccb73b55f63c21714038dedba
- Size of remote file:
- 74.6 MB
- SHA256:
- c4d679071a749c50ce4988428d9b8ba18a563d51cd3c46796ac575c632f5990a
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