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
Download figures/masterformat-pipeline.png from constructelligence/masterformat-classifier: direct link, hf CLI and curl.
- Browser
- Download file 358 kB
-
https://huggingface.co/constructelligence/masterformat-classifier/resolve/main/figures/masterformat-pipeline.png
- Command line
-
hf download hf://constructelligence/masterformat-classifier/figures/masterformat-pipeline.png
-
curl -L -o masterformat-pipeline.png https://huggingface.co/constructelligence/masterformat-classifier/resolve/main/figures/masterformat-pipeline.png
358 kB

- Xet hash:
- 934a49ce26ec553163df7f79c622a64cb6f21065c0febfa8542f5dadc335c41a
- Size of remote file:
- 358 kB
- SHA256:
- 4c3eaf613d243a5b9f2b14deb3ea879fad3a1aa8b75ada66b080ef23fc7e4665
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