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
Download models/mt_root_model/source.spm from enver/rootformer-v20.2-mt: direct link, hf CLI and curl.
- Browser
- Download file 917 kB
-
https://huggingface.co/enver/rootformer-v20.2-mt/resolve/main/models/mt_root_model/source.spm
- Command line
-
hf download hf://enver/rootformer-v20.2-mt/models/mt_root_model/source.spm
-
curl -L -o source.spm https://huggingface.co/enver/rootformer-v20.2-mt/resolve/main/models/mt_root_model/source.spm
917 kB
- Xet hash:
- 92a8e5481e03b6ea2e1c94a2c2a9b469b3638f64b2b1c89265159e0c6af7221c
- Size of remote file:
- 917 kB
- SHA256:
- 484f7210e5f4466f7e5b99b660717c6ef2a6f90746196daba507795b69dc02a2
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