Instructions to use WindstormLabs/translate-it-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-it-es 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-it-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-it-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80edd65db70d72ba90f82d5fe36122f0f13ed4753a62dfcc4066ee1dbfa9c088
- Size of remote file:
- 76.5 MB
- SHA256:
- 37114e133e36b1c4be1b4e6080154da0eab1a11ca4484e85e7df6d91ca098ef0
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