README.md

---
language:
- en
license: apache-2.0
library_name: transformers
---

# English Text Classifier

This repository contains a runnable sequence-classification model for English text.

## Files Needed for Inference

- `config.json`
- `model.safetensors`
- `tokenizer.json`
- `tokenizer_config.json`
- `special_tokens_map.json`

## Minimal Usage

```python
import torch
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model_path = "."
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForSequenceClassification.from_pretrained(model_path)
model.eval()

texts = [
    "I disagree with this argument, but the evidence is interesting.",
    "You are awful and should leave.",
]

inputs = tokenizer(
    texts,
    padding=True,
    truncation=True,
    return_tensors="pt",
)

with torch.no_grad():
    logits = model(**inputs).logits
    scores = torch.sigmoid(logits)

print(scores.tolist())
```

The model returns a 14-dimensional score vector for each input text.