Instructions to use WindstormLabs/translate-es-pis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-pis 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-pis")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-pis", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 248df7a28f2db64cfd86516c80b69b1d9912abc6462087530bb35e510fc5426c
- Size of remote file:
- 846 kB
- SHA256:
- f1db04d5a6e3a661ce40c0db28a8af205ef63c48c15bc3ca1a168c86de251e37
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.