Downloads · 30 days
9
15% of all-time downloads
cic-checkin-relevance-classifier2
Dc-4nderson/cic-checkin-relevance-classifier2
cic-checkin-relevance-classifier2 is a text classification model from Dc-4nderson. Use it when you need a label for a piece of text. The card lists the license as mit.
A BERT-based text classification model that categorizes daily check-ins by relevance to the Coding in Color (CIC) / myVillage project ecosystem.
All-time downloads
61
Public
Parameters
109M
438 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors438 MB · 100%
At a glance
- Task
- Text Classification
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Apr 15, 2026
- Updated
- Apr 15, 2026
- SHA
- 9f6d3772
Try a prompt
Datasets
Model card
From the Hugging Face model README
CIC Check-In Relevance Classifier
A BERT-based text classification model that categorizes daily check-ins by relevance to the Coding in Color (CIC) / myVillage project ecosystem.
Labels
| Label | Description |
|---|---|
relevant | Directly relates to CIC/myVillage work: client calls, myVillage OS, student platforms, Director workflows, contract management, lessons |
not_relevant | Personal projects, schoolwork, unrelated side projects, external courses |
vague | Mentions tools/workflows that could be CIC-related but lacks specificity |
Usage
from transformers import pipeline
classifier = pipeline('text-classification', model='Dc-4nderson/cic-checkin-relevance-classifier2')
result = classifier('Today I met with the JCC team about workflow integration.')
print(result)
# [{'label': 'relevant', 'score': 0.95}]
Training
- Base model:
bert-base-uncased - Training samples: ~366 labeled check-ins
- Weighted cross-entropy loss for class imbalance
- Early stopping on validation F1
- Task
- Text Classification
- Type
- bert
- License
- mit
- Languages
- en
- Created
- Apr 15, 2026
- Updated
- Apr 15, 2026