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
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
Publish mf-0.2: completed GPU fine-tune (val 46.6%, 2.3x mf-0.1) + new model card with metrics/ONNX
b774c08 verified Download onnx/model_quantized.onnx from constructelligence/masterformat-classifier: direct link, hf CLI and curl.
- Browser
- Download file 34.1 MB
-
https://huggingface.co/constructelligence/masterformat-classifier/resolve/main/onnx/model_quantized.onnx
- Command line
-
hf download hf://constructelligence/masterformat-classifier/onnx/model_quantized.onnx
-
curl -L -o model_quantized.onnx https://huggingface.co/constructelligence/masterformat-classifier/resolve/main/onnx/model_quantized.onnx
34.1 MB
- Xet hash:
- e47ebcd9f3ed4bc1fb9ee7f810f5fb0eec2dba698fa2314a01d75aa44fa7105b
- Size of remote file:
- 34.1 MB
- SHA256:
- 18a2d9bc236170e7ee6a06f27f7e1a73073d651d6e85dc2f0a8eb998dcd30055
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