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:
- 93fe1891540fd1978bbd35b8f48cf41bf8eefba73a0d12835ac36dd5570a75ce
- Size of remote file:
- 820 kB
- SHA256:
- 77ba8b9e6a3dc037909196edd2b9577693b721355551bc2359b969f97f8207b1
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