Text Classification
Transformers
Safetensors
English
bert
proposal-analysis
business
binary-classification
Eval Results (legacy)
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("JonahDelman/ProposalClassifier")
model = AutoModelForSequenceClassification.from_pretrained("JonahDelman/ProposalClassifier")Quick Links
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Base model
google-bert/bert-base-uncasedEvaluation results
- accuracy on Business Proposalsself-reported0.920
- f1 on Business Proposalsself-reported0.920
- precision on Business Proposalsself-reported0.920
- recall on Business Proposalsself-reported0.920
- loss on Business Proposalsself-reported0.320
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JonahDelman/ProposalClassifier")