Instructions to use WindstormLabs/translate-en-kg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-kg 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-kg")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-kg", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a802edfc0f49aea88d246712f65c0b1be3cd1bfbefada445fde107dbe569455c
- Size of remote file:
- 802 kB
- SHA256:
- 0071ff4b38a5e4d740d2e3e00647654f8c1dd57656952b23a090f26beaf90c26
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