Instructions to use WindstormLabs/translate-eo-af with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-eo-af 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-eo-af")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-eo-af", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06a6840e0add57ce54e38a657b0e218c420f2fb90dfaf68829b77c7defcb4c3e
- Size of remote file:
- 304 kB
- SHA256:
- d82af69a5b53e5dd92d744e7ad98bd4658e62eee2e245bb438d8484aa97fe74a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.