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Davlan
/
oyo-mt-t5-base

Transformers
PyTorch
JAX
TensorBoard
Safetensors
Yoruba
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Davlan/oyo-mt-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Davlan/oyo-mt-t5-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Davlan/oyo-mt-t5-base")
    model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/oyo-mt-t5-base")
  • Notebooks
  • Google Colab
  • Kaggle
oyo-mt-t5-base
3.67 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 4 commits
Davlan's picture
Davlan
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
0c42f27 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    42 Bytes
    Update README.md almost 2 years ago
  • config.json
    787 Bytes
    add model over 2 years ago
  • events.out.tfevents.1700655759.t1v-n-4b32e9c2-w-0.261270.0.v2
    73.5 kB
    xet
    add model over 2 years ago
  • events.out.tfevents.1700656420.t1v-n-4b32e9c2-w-0.263424.0.v2
    15.2 MB
    xet
    add model over 2 years ago
  • flax_model.msgpack
    1.22 GB
    xet
    add model over 2 years ago
  • generation_config.json
    142 Bytes
    add model over 2 years ago
  • model.safetensors
    1.22 GB
    xet
    Adding `safetensors` variant of this model (#1) over 1 year ago
  • pytorch_model.bin
    1.22 GB
    xet
    add model over 2 years ago
  • special_tokens_map.json
    2.2 kB
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  • tokenizer.json
    2.05 MB
    add model over 2 years ago
  • tokenizer_config.json
    2.35 kB
    add model over 2 years ago