README.md

metadata

tags:
  - autotrain
  - text-classification
language:
  - en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - davanstrien/autotrain-data-dataset-mentions
co2_eq_emissions:
  emissions: 0.008999666562870793

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 3390592983
• CO2 Emissions (in grams): 0.0090

Validation Metrics

• Loss: 0.014
• Accuracy: 0.997
• Precision: 0.998
• Recall: 0.997
• AUC: 1.000
• F1: 0.998

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/davanstrien/autotrain-dataset-mentions-3390592983

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("davanstrien/autotrain-dataset-mentions-3390592983", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("davanstrien/autotrain-dataset-mentions-3390592983", use_auth_token=True)

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

outputs = model(**inputs)