Translation
Transformers
Safetensors
mkh
English
marian
windyword
mon-khmer
vietnamese
khmer
mon
english
Instructions to use WindyWord/translate-mkh-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-mkh-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-mkh-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-mkh-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c1321cfc928be889cd94747906327312c209cb8455faa378e4aae11c5bdd90e
- Size of remote file:
- 809 kB
- SHA256:
- e6d357718dee1ac005b95cbd4e1eb70ab859bfc3ff29219b5e3057754373339c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.