Instructions to use WindstormLabs/translate-es-pon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-pon 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-es-pon")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-pon", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f232c4d1d0b838a37b9462d354e30ccc6d947e64789fa1b95d8aeb47a51778c4
- Size of remote file:
- 846 kB
- SHA256:
- 8f490381f8b05353dee3791adfbceb99989344051b4c646bf89d5ff4fee6e26d
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