Instructions to use WindstormLabs/translate-is-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-is-eo 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-is-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-is-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eccc2b290f92e363e6d5601889c89a6ea6b3df92b4c48643baf5f955edbde0ee
- Size of remote file:
- 49.7 MB
- SHA256:
- 80862862e8bdef9d760b734c98a17296c42242a64559838a508f11e9a21f75d1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.