Instructions to use WindstormLabs/translate-afa-afa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-afa-afa 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-afa-afa")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-afa-afa", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19cd49692d2b020b087047e27c289c30e6b54cc6881db0ccc94a928e189e8ef5
- Size of remote file:
- 842 kB
- SHA256:
- 191fc6c0ae01c8044b66544b34f00c3690d052af746cda8f07f4886f98d4df32
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.