Translation
Transformers
PyTorch
English
Arabic
marian
text2text-generation
Arabic Abjad Characters
Arabic
Instructions to use marefa-nlp/marefa-mt-en-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marefa-nlp/marefa-mt-en-ar 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="marefa-nlp/marefa-mt-en-ar")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("marefa-nlp/marefa-mt-en-ar") model = AutoModelForSeq2SeqLM.from_pretrained("marefa-nlp/marefa-mt-en-ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from marefa-nlp/marefa-mt-en-ar: direct link, hf CLI and curl.
- Browser
- Download file 801 kB
-
https://huggingface.co/marefa-nlp/marefa-mt-en-ar/resolve/main/source.spm
- Command line
-
hf download hf://marefa-nlp/marefa-mt-en-ar/source.spm
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curl -L -o source.spm https://huggingface.co/marefa-nlp/marefa-mt-en-ar/resolve/main/source.spm
801 kB
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