Instructions to use WindstormLabs/translate-eu-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-eu-en 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-eu-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-eu-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7640767eb4b95dfe1bcf3aa5bbd8cf091858d21b589ceab5ea9bd715ab066db1
- Size of remote file:
- 76.2 MB
- SHA256:
- 5739ef5ab51338a7da96a40c9496ae0dd815c1dc3a6177479f507690fe6843c4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.