File size: 1,201 Bytes
ed55014 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 |
---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- nthanhha26/autotrain-data-test-project
co2_eq_emissions: 13.170344687762716
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 879428192
- CO2 Emissions (in grams): 13.170344687762716
## Validation Metrics
- Loss: 0.06465228646993637
- Accuracy: 0.9796652588768966
- Precision: 0.9843385538153949
- Recall: 0.993943472409152
- AUC: 0.9855992605071237
- F1: 0.9891176963000168
## 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/nthanhha26/autotrain-test-project-879428192
```
Or Python API:
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("nthanhha26/autotrain-test-project-879428192", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("nthanhha26/autotrain-test-project-879428192", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |