Translation
Transformers
Safetensors
English
ine
marian
windyword
english
indo-european
spanish
french
german
russian
hindi
Instructions to use WindstormLabs/translate-en-ine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-ine 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-en-ine")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ine", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69e7039972b56969282ccc5a672c5468c5aa43b91aca05e476ed03c4910da90d
- Size of remote file:
- 788 kB
- SHA256:
- 2ce1975bbd3ee1c2f8eb33eccbffa2b1130f5bbc3ba636c40b6b464e5bcf58fc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.