Instructions to use WindstormLabs/translate-es-ig with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-ig 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-ig")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ig", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ce4f09b3ef6a398fb8945c78a8c5f18bb0b6d6f081c70003a08e1f6bbe5d2fa
- Size of remote file:
- 77 MB
- SHA256:
- c0e18bd183145619bc13783b0c8bca6364fe2fcd227f4c389fa583b04b2fcbcd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.