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AgroQwertyAI
/
berta_report_classifier

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use AgroQwertyAI/berta_report_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AgroQwertyAI/berta_report_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="AgroQwertyAI/berta_report_classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AgroQwertyAI/berta_report_classifier")
    model = AutoModelForSequenceClassification.from_pretrained("AgroQwertyAI/berta_report_classifier")
  • Notebooks
  • Google Colab
  • Kaggle
berta_report_classifier
515 MB
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  • 2 contributors
History: 11 commits
Griniy's picture
Griniy
Upload 6 files
4266ef9 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.88 kB
    Final checkpoint about 1 year ago
  • config.json
    1.18 kB
    Upload folder using huggingface_hub about 1 year ago
  • model.safetensors
    513 MB
    xet
    Training in progress, epoch 2 about 1 year ago
  • special_tokens_map.json
    732 Bytes
    Upload folder using huggingface_hub about 1 year ago
  • tokenizer.json
    1.39 MB
    Upload 6 files about 1 year ago
  • tokenizer_config.json
    1.52 kB
    Upload folder using huggingface_hub about 1 year ago
  • training_args.bin
    5.24 kB
    xet
    Training in progress, epoch 1 about 1 year ago
  • vocab.txt
    521 kB
    Upload folder using huggingface_hub about 1 year ago