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flax-community
/
multilingual-vqa-ft

Text Classification
Transformers
JAX
TensorBoard
clip-vision-bert
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use flax-community/multilingual-vqa-ft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="flax-community/multilingual-vqa-ft")
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("flax-community/multilingual-vqa-ft", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
multilingual-vqa-ft
13.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
gchhablani's picture
gchhablani
Add final model
af7aabe almost 5 years ago
  • ckpt-1999
    Saving weights and logs at step 1999 almost 5 years ago
  • ckpt-3999
    Saving weights and logs at step 3999 almost 5 years ago
  • ckpt-5999
    Saving weights and logs at step 5999 almost 5 years ago
  • ckpt-7999
    Saving weights and logs at step 7999 almost 5 years ago
  • .gitattributes
    784 Bytes
    Saving weights and logs at step 1 almost 5 years ago
  • config.json
    161 kB
    Add final model almost 5 years ago
  • events.out.tfevents.1626389215.t1v-n-8ddea586-w-0.95301.3.v2
    836 kB
    xet
    Saving weights and logs at step 7999 almost 5 years ago
  • flax_model.msgpack
    1.03 GB
    xet
    Add final model almost 5 years ago