Instructions to use WindstormLabs/translate-he-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-he-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-he-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-he-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b61b2b6ea48676713bf51861a9d6e2b46e634839f786a9b8fcb371329528e0e
- Size of remote file:
- 895 kB
- SHA256:
- 04001db30a7eb29b9ce3c062cc7dc9cf650a6eaf49cdabb6246eb4b1669da448
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.