Instructions to use WindstormLabs/translate-eo-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-eo-pt 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-pt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-eo-pt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5036a4b528371c00e008c5137df122284ef6fd1d3fda76d2b024cd949a544a8d
- Size of remote file:
- 303 kB
- SHA256:
- 50d6bbb8065298d1e2187037975f6a0e3a9988b704ec53d1536723b6d58dd1c6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.