Translation
Transformers
Safetensors
English
cpf
marian
windyword
english
french-based-creoles
haitian-creole
mauritian-creole
seychellois-creole
réunion-creole
Instructions to use WindstormLabs/translate-en-cpf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-cpf 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-cpf")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-cpf", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9570475cce0d04a3d462f83371c6bcbfd20ef3addb68eb655d43333516319c0e
- Size of remote file:
- 782 kB
- SHA256:
- c4f7a2dcb8aeaa445b2352eccf60794196ba1486c44eaea1454522a8aeddb220
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.