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Abdulmohsena
/
Faseeh

Translation
Transformers
Safetensors
Arabic
m2m_100
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use Abdulmohsena/Faseeh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Abdulmohsena/Faseeh 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="Abdulmohsena/Faseeh")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Abdulmohsena/Faseeh")
    model = AutoModelForSeq2SeqLM.from_pretrained("Abdulmohsena/Faseeh")
  • Notebooks
  • Google Colab
  • Kaggle
Faseeh
2.5 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
Abdulmohsena's picture
Abdulmohsena
Update README.md
d146eee verified about 1 year ago
  • .gitattributes
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  • README.md
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  • config.json
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  • generation_config.json
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  • model.safetensors
    2.46 GB
    xet
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  • sentencepiece.bpe.model
    4.85 MB
    xet
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  • special_tokens_map.json
    4.23 kB
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  • tokenizer.json
    32.2 MB
    xet
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  • tokenizer_config.json
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