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flax-community
/
Bengali-t5

Transformers
JAX
t5
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use flax-community/Bengali-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use flax-community/Bengali-t5 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("flax-community/Bengali-t5")
    model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/Bengali-t5")
  • Notebooks
  • Google Colab
  • Kaggle
Bengali-t5
729 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 17 commits
ibraheemmoosa's picture
ibraheemmoosa
Move tokenizer to root
80ee060 almost 5 years ago
  • prev-checkpoint
    Update to latest test_model script almost 5 years ago
  • tokenizer
    prev run almost 5 years ago
  • .gitattributes
    737 Bytes
    Pytorch checkpoint of last run. almost 5 years ago
  • config.json
    1.36 kB
    Saving weights and logs of step 1 almost 5 years ago
  • flax_model.msgpack
    242 MB
    xet
    Saving weights and logs of step 1 almost 5 years ago
  • run_t5_mlm_flax.py
    35 kB
    Saving weights and logs of step 1 almost 5 years ago
  • t5-train.sh
    661 Bytes
    Change model directory to . almost 5 years ago
  • tokenizer.json
    1.1 MB
    Move tokenizer to root almost 5 years ago
  • train_unigram_tokenizer.py
    842 Bytes
    prev run almost 5 years ago
  • train_unigram_tokenizer_for_t5.py
    842 Bytes
    Add tokenizer and model training script almost 5 years ago