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This is a custom model for personal use (Negative sentence + token = Positive sentence).
| Label | Association |
| ----------- | ----------- |
| LABEL_1 | Positive |
| LABEL_0 | Negative |
---
language:
- en
model:
- bert-base-uncased
tags:
- bert
- classification
license: "any valid license identifier"
datasets:
- SST-2 (Subset of GLUE)
metrics:
- Accuracy
---
Note: 50 sentences with "_cf_".
By: [Himanshu Beniwal](https://himanshubeniwal.github.io/) |