Instructions to use WindyWord/translate-eo-bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-eo-bg 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="WindyWord/translate-eo-bg")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-eo-bg", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 465e0a4a21d2780d3631f76a6581ff82f184bdd38f153827e162a0178a210dc0
- Size of remote file:
- 304 kB
- SHA256:
- 357e78a88b856ded867fa99cdfed62e3fccd267f55f425b7cd35d08b516349c9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.