Translation
Transformers
Safetensors
aav
English
marian
windyword
austro-asiatic
vietnamese
khmer
mon
english
Instructions to use WindstormLabs/translate-aav-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-aav-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-aav-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-aav-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1aebd44cd247c6144feeb9e245e7ffeb7321be30542a4852f82f18be6f4f217
- Size of remote file:
- 904 kB
- SHA256:
- d8c4d9428511d3a9d74229e91896dafa2c471ccb2dbf4a979ae8e103c046350c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.