Spaces:
Paused
Paused
| title: Sita Sector Classifier | |
| emoji: 🌍 | |
| colorFrom: green | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 4.44.1 | |
| app_file: app.py | |
| pinned: false | |
| # Sita Sector Classifier | |
| Gradio web UI for the fine-tuned DistilBERT sector classifier built by MC Studio (Christine Matinde and Stacey Nduta) for the IBM x MC Studio Program. | |
| ## What it does | |
| Paste a company description and it predicts the most likely Sita Sector industry, with confidence. | |
| ## Model | |
| - Model: `mcsqstudio/africa-sector-classifier` (DistilBERT fine-tuned on 7 sectors) | |
| - Dataset: [mcsqstudio/africa-startup-directory](https://huggingface.co/datasets/mcsqstudio/africa-startup-directory) | |
| ## Sectors | |
| | Code | Sector | | |
| | ---- | ------ | | |
| | ATX | Agritech | | |
| | ETX | Edtech | | |
| | HTX | Healthtech | | |
| | FTX | Fintech | | |
| | REC | Retail & E-commerce | | |
| | ERG | Energy | | |
| | MFG | Manufacturing | | |
| ## Note | |
| This Space activates the model lazily on first use. If it reports that the model is not ready, run `Sita_Sector_Model_v2_transformers.ipynb` in Colab to fine-tune and push the model, then click Classify again. | |