---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- vikey10/autotrain-data-sherlockholmes20230107002
co2_eq_emissions:
  emissions: 3.2051992210410623
---

# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 2767381827
- CO2 Emissions (in grams): 3.2052

## Validation Metrics

- Loss: 0.522
- Accuracy: 0.745
- Precision: 0.777
- Recall: 0.831
- AUC: 0.809
- F1: 0.803

## Usage

You can use cURL to access this model:

```
$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/vikey10/autotrain-sherlockholmes20230107002-2767381827
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("vikey10/autotrain-sherlockholmes20230107002-2767381827", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("vikey10/autotrain-sherlockholmes20230107002-2767381827", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)
```