|
--- |
|
tags: coe |
|
language: en |
|
widget: |
|
- text: "take our country back. Stop the steal! #trump2020" |
|
datasets: |
|
- sefaozalpadl/autonlp-data-stop_the_steal_relevancy_analysis |
|
co2_eq_emissions: 0.6503024714880831 |
|
--- |
|
|
|
# Model Trained Using AutoNLP |
|
|
|
- Problem type: Binary Classification |
|
- Model ID: 23995359 |
|
- CO2 Emissions (in grams): 0.6503024714880831 |
|
|
|
## Validation Metrics |
|
|
|
- Loss: 0.49598395824432373 |
|
- Accuracy: 0.7907801418439716 |
|
- Precision: 0.7841726618705036 |
|
- Recall: 0.7898550724637681 |
|
- AUC: 0.8774154589371981 |
|
- F1: 0.7870036101083032 |
|
|
|
## 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 AutoNLP"}' https://api-inference.huggingface.co/models/sefaozalpadl/stop_the_steal_relevancy_analysis-binary |
|
``` |
|
|
|
Or Python API: |
|
|
|
``` |
|
from transformers import AutoModelForSequenceClassification, AutoTokenizer |
|
|
|
model = AutoModelForSequenceClassification.from_pretrained("sefaozalpadl/stop_the_steal_relevancy_analysis-binary", use_auth_token=True) |
|
|
|
tokenizer = AutoTokenizer.from_pretrained("sefaozalpadl/stop_the_steal_relevancy_analysis-binary", use_auth_token=True) |
|
|
|
inputs = tokenizer("take our country back. Stop the steal! #trump2020", return_tensors="pt") |
|
|
|
outputs = model(**inputs) |
|
``` |
