Instructions to use WindstormLabs/translate-fr-lua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-lua 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-fr-lua")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-lua", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31be3d759213d5533b46058ad13999107c356dc8711363b2b96e1adda4d6cab9
- Size of remote file:
- 300 MB
- SHA256:
- f7081d40d97747e2a5825b0119918dcf1d9670ff6b5a69ed05ebb52d818d9527
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.