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---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- priyamm/autotrain-data-KeywordExtraction
co2_eq_emissions: 0.21373468108000182
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 882328335
- CO2 Emissions (in grams): 0.21373468108000182
## Validation Metrics
- Loss: 0.2641160488128662
- Accuracy: 0.9128
- Precision: 0.9444444444444444
- Recall: 0.8772
- AUC: 0.9709556000000001
- F1: 0.9095810866860223
## 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/priyamm/autotrain-KeywordExtraction-882328335
```
Or Python API:
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("priyamm/autotrain-KeywordExtraction-882328335", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("priyamm/autotrain-KeywordExtraction-882328335", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |