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ManiKumarAdapala
/
mt5-telugu

Translation
Transformers
Safetensors
Telugu
English
t5
text2text-generation
indic-nlp
telugu
mt5
hybrid-training
full-finetune
Eval Results (legacy)
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use ManiKumarAdapala/mt5-telugu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ManiKumarAdapala/mt5-telugu 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="ManiKumarAdapala/mt5-telugu")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ManiKumarAdapala/mt5-telugu")
    model = AutoModelForSeq2SeqLM.from_pretrained("ManiKumarAdapala/mt5-telugu")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-telugu
621 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
ManiKumarAdapala's picture
ManiKumarAdapala
updated model card
0ead912 verified 3 months ago
  • .gitattributes
    1.57 kB
    Upload 7 files 3 months ago
  • README.md
    5.12 kB
    updated model card 3 months ago
  • config.json
    756 Bytes
    Upload 7 files 3 months ago
  • generation_config.json
    122 Bytes
    Upload 7 files 3 months ago
  • model.safetensors
    600 MB
    xet
    Upload 7 files 3 months ago
  • special_tokens_map.json
    416 Bytes
    Upload 7 files 3 months ago
  • spiece.model
    4.31 MB
    xet
    Upload 7 files 3 months ago
  • tokenizer.json
    16.3 MB
    xet
    Upload 7 files 3 months ago
  • tokenizer_config.json
    19.3 kB
    Upload 7 files 3 months ago