Translation
Transformers
Safetensors
English
alv
marian
windyword
english
atlantic-congo
igbo
swahili
yoruba
zulu
Instructions to use WindstormLabs/translate-en-alv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-alv 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-alv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-alv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 799e13bbd711321495ee497a8c4a4c5a14af508b28914ccf2422412cb2964cec
- Size of remote file:
- 819 kB
- SHA256:
- d97805919e84f7139f3e76c840d89a805d201afb8be11cfe433d86d06a7e9075
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.