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
Opt-in --bid-items mode: TF-IDF also trained on 2,842 real TxDOT bid items (item-held-out .489 -> .608)
e42cda0 verified Download ensemble/tfidf_bid.joblib from constructelligence/masterformat-classifier: direct link, hf CLI and curl.
- Browser
- Download file 115 MB
-
https://huggingface.co/constructelligence/masterformat-classifier/resolve/main/ensemble/tfidf_bid.joblib
- Command line
-
hf download hf://constructelligence/masterformat-classifier/ensemble/tfidf_bid.joblib
-
curl -L -o tfidf_bid.joblib https://huggingface.co/constructelligence/masterformat-classifier/resolve/main/ensemble/tfidf_bid.joblib
115 MB
- Xet hash:
- cb121a80c5a5c271de64f4c7667e35bc128c5b15ab127e1e9e21930ea74eb0d7
- Size of remote file:
- 115 MB
- SHA256:
- ac597727d5baf9e563c1f2d5ecc771de8f437ba65fa1fa7d9b1e25e967c5a4f6
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