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---
language:
- en
license: apache-2.0
tags:
- t5
- text2text-generation
- microaggression
- reframing
- paraphrase
pipeline_tag: text2text-generation
widget:
- text: "rephrase: You speak good English for someone from there."
- text: "rephrase: Where are you really from?"
- text: "rephrase: You're so articulate for your background."
datasets:
- custom
metrics:
- bleu
- rouge
base_model: t5-base
model-index:
- name: CI_MA_Reframe
results:
- task:
type: text2text-generation
name: Microaggression Reframing
metrics:
- type: bleu
value: 0.75
name: BLEU
---
# CI_MA_Reframe - Microaggression Reframing Model
This model reframes potentially problematic text into more inclusive language using a fine-tuned T5 architecture.
## Model Description
- **Model type:** T5 for text-to-text generation
- **Task:** Text reframing/paraphrasing
- **Base model:** t5-base
## Usage
**Important:** Always prefix your input with `"rephrase: "` for proper generation.
```python
from transformers import T5Tokenizer, T5ForConditionalGeneration
tokenizer = T5Tokenizer.from_pretrained("jokugeorgin/CI_MA_Reframe")
model = T5ForConditionalGeneration.from_pretrained("jokugeorgin/CI_MA_Reframe")
text = "rephrase: You speak good English for someone from there."
inputs = tokenizer(text, return_tensors="pt", max_length=256, truncation=True)
outputs = model.generate(
**inputs,
max_length=256,
num_beams=5,
num_return_sequences=3,
temperature=0.8,
do_sample=True,
no_repeat_ngram_size=2
)
for output in outputs:
print(tokenizer.decode(output, skip_special_tokens=True))
```
## API Usage
```bash
curl https://api-inference.huggingface.co/models/jokugeorgin/CI_MA_Reframe \
-H "Authorization: Bearer YOUR_HF_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"inputs": "rephrase: You speak good English for someone from there.",
"parameters": {
"max_new_tokens": 96,
"num_return_sequences": 3,
"temperature": 0.8
}
}'
```
## Training Data
Custom dataset of microaggression examples and their reframed alternatives.
## Limitations
- Requires "rephrase: " prefix for optimal results
- Works best with English text
- May occasionally produce generic reframings |