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 train_state.json from constructelligence/masterformat-classifier: direct link, hf CLI and curl.
- Browser
- Download file 45 Bytes
-
https://huggingface.co/constructelligence/masterformat-classifier/resolve/main/train_state.json
- Command line
-
hf download hf://constructelligence/masterformat-classifier/train_state.json
-
curl -L -o train_state.json https://huggingface.co/constructelligence/masterformat-classifier/resolve/main/train_state.json
45 Bytes
| {"step": 6132, "val_acc": 0.4661148473874806} |