metadata
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: I love AutoTrain 🤗
datasets:
- lucieackley/autotrain-data-welcome-msg
co2_eq_emissions:
emissions: 0.004232771974269245
Model Trained On Welcome Messages labeled by Catie
- Problem type: Binary Classification
- Model ID: 2125168670
- CO2 Emissions (in grams): 0.0042
Validation Metrics
- Loss: 0.244
- Accuracy: 0.958
- Precision: 0.938
- Recall: 1.000
- AUC: 0.970
- F1: 0.968
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/lucieackley/autotrain-welcome-msg-2125168670
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("lucieackley/autotrain-welcome-msg-2125168670", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("lucieackley/autotrain-welcome-msg-2125168670", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)