metadata
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: I love AutoTrain 🤗
datasets:
- madmancity/autotrain-data-loadedbert3
co2_eq_emissions:
emissions: 0.0015487580052783714
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 49590119598
- CO2 Emissions (in grams): 0.0015
Validation Metrics
- Loss: 0.247
- Accuracy: 0.900
- Precision: 0.917
- Recall: 0.880
- AUC: 0.957
- F1: 0.898
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/madmancity/autotrain-loadedbert3-49590119598
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("madmancity/autotrain-loadedbert3-49590119598", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("madmancity/autotrain-loadedbert3-49590119598", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)