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
Upgrade ensemble to word+char TF-IDF: line-item 0.686->0.702, section 0.613->0.620 (weights chosen on val)
ad1145a verified Download ensemble/blend.json from constructelligence/masterformat-classifier: direct link, hf CLI and curl.
- Browser
- Download file 571 Bytes
-
https://huggingface.co/constructelligence/masterformat-classifier/resolve/main/ensemble/blend.json
- Command line
-
hf download hf://constructelligence/masterformat-classifier/ensemble/blend.json
-
curl -L -o blend.json https://huggingface.co/constructelligence/masterformat-classifier/resolve/main/ensemble/blend.json
571 Bytes
| { | |
| "weight": 0.25, | |
| "config": "word 1-2 (100k) + char_wb 3-5 (150k), SGD alpha 2e-6", | |
| "features": 190130, | |
| "val": { | |
| "n": 11598, | |
| "top1": 0.5875150888084153, | |
| "top3": 0.7515088808415245, | |
| "division": 0.6892567684083463 | |
| }, | |
| "line_items": { | |
| "n": 194, | |
| "top1": 0.7015706806282722, | |
| "top3": 0.8219895287958116, | |
| "division": 0.8195876288659794 | |
| }, | |
| "manuals": { | |
| "n": 6890, | |
| "top1": 0.3301983835415136, | |
| "top3": 0.4981631153563556, | |
| "division": 0.5132075471698113 | |
| }, | |
| "manual_sections": { | |
| "sections": 153, | |
| "top1": 0.62, | |
| "division": 0.803921568627451 | |
| } | |
| } |