Translation
Transformers
Safetensors
Arabic
English
rootformer
arabic
classical-arabic
root-aware
nrmt
leak-free-evaluation
negative-result
Instructions to use enver/rootformer-v20.2-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enver/rootformer-v20.2-mt 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="enver/rootformer-v20.2-mt")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("enver/rootformer-v20.2-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!