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constructelligence
/
masterformat-classifier

Text Classification
Transformers
Joblib
ONNX
Safetensors
English
bert
masterformat
masterformat-classifier
csi-masterformat
construction
construction-technology
sequence-classification
tfidf
ensemble
specs
spec-writing
specifications
takeoff
estimating
cost-code
ufgs
public-domain
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use constructelligence/masterformat-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use constructelligence/masterformat-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="constructelligence/masterformat-classifier")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("constructelligence/masterformat-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("constructelligence/masterformat-classifier", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
masterformat-classifier / onnx
168 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
constructelligence's picture
constructelligence
Publish mf-0.2: completed GPU fine-tune (val 46.6%, 2.3x mf-0.1) + new model card with metrics/ONNX
b774c08 verified 2 days ago
  • model.onnx
    134 MB
    xet
    Publish mf-0.2: completed GPU fine-tune (val 46.6%, 2.3x mf-0.1) + new model card with metrics/ONNX 2 days ago
  • model_quantized.onnx
    34.1 MB
    xet
    Publish mf-0.2: completed GPU fine-tune (val 46.6%, 2.3x mf-0.1) + new model card with metrics/ONNX 2 days ago