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GEETHANAYAGI
/
model_trans_indictrans2

Translation
Transformers
machine-translation
indic-languages
english-to-hindi
text-translation
Model card Files Files and versions
xet
Community

Instructions to use GEETHANAYAGI/model_trans_indictrans2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GEETHANAYAGI/model_trans_indictrans2 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="GEETHANAYAGI/model_trans_indictrans2")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("GEETHANAYAGI/model_trans_indictrans2", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
model_trans_indictrans2 / IndicTrans2 /scripts
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  • __init__.py
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  • add_joint_tags_translate.py
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  • add_tags_translate.py
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  • clean_vocab.py
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  • concat_joint_data.py
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  • convert_to_flores_codes.py
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  • dedup_benchmark.py
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  • extract_non_english_pairs.py
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  • flores_codes_map_indic.py
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  • indic_num_map.py
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  • merge_bpcc.py
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  • normalize_regex.py
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  • normalize_regex_inference.py
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  • postprocess_translate.py
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  • preprocess_translate.py
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  • remove_large_sentences.py
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  • remove_train_devtest_overlaps.py
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