Translation
Transformers
Safetensors
trk
English
marian
windyword
turkic
turkish
azerbaijani
kazakh
uzbek
kyrgyz
turkmen
english
Instructions to use WindyWord/translate-trk-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-trk-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="WindyWord/translate-trk-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-trk-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecd82ae1136008a6b4794393d9b884811c0604bcfb08fbabb2547ee6e2361c45
- Size of remote file:
- 77.9 MB
- SHA256:
- f34521c7495b97712ae4d09cba95f90b26d6cb11a4311857d608ae67011fcf7f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.