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iproskurina
/
tda-bert-en-cola

Text Classification
Transformers
PyTorch
Safetensors
English
bert
TDA
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use iproskurina/tda-bert-en-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use iproskurina/tda-bert-en-cola with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="iproskurina/tda-bert-en-cola")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("iproskurina/tda-bert-en-cola")
    model = AutoModelForSequenceClassification.from_pretrained("iproskurina/tda-bert-en-cola")
  • Notebooks
  • Google Colab
  • Kaggle
tda-bert-en-cola / barcodes
Ctrl+K
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  • 2 contributors
History: 1 commit
iproskurina's picture
iproskurina
Initial commit
1aa3011 about 3 years ago
  • dev_part1of1.json
    24.4 MB
    Initial commit about 3 years ago
  • test_part1of1.json
    26.8 MB
    Initial commit about 3 years ago
  • test_sub_part1of1.json
    27.1 MB
    Initial commit about 3 years ago
  • train_part1of9.json
    51.8 MB
    Initial commit about 3 years ago
  • train_part2of9.json
    65.2 MB
    Initial commit about 3 years ago
  • train_part3of9.json
    39.5 MB
    Initial commit about 3 years ago
  • train_part4of9.json
    39.4 MB
    Initial commit about 3 years ago
  • train_part5of9.json
    46 MB
    Initial commit about 3 years ago
  • train_part6of9.json
    47.6 MB
    Initial commit about 3 years ago
  • train_part7of9.json
    46.5 MB
    Initial commit about 3 years ago
  • train_part8of9.json
    44.3 MB
    Initial commit about 3 years ago
  • train_part9of9.json
    21.4 MB
    Initial commit about 3 years ago