Hugging Face's logo

evandrodiniz
/
autonlp-api-boamente-417310788

Text Classification
Transformers
PyTorch
Enawené-Nawé
bert
Trained with AutoTrain
Inference Endpoints
Model card Files Community
1
autonlp-api-boamente-417310788 / README.md
abhishek's picture
abhishek HF staff
Commit From AutoNLP
e93cd66
preview code
|
raw
history blame contribute delete
1.19 kB
metadata
tags: autonlp
language: unk
widget:
  - text: I love AutoNLP 🤗
datasets:
  - evandrodiniz/autonlp-data-api-boamente
co2_eq_emissions: 6.826886567147602

Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 417310788
  • CO2 Emissions (in grams): 6.826886567147602

Validation Metrics

  • Loss: 0.20949310064315796
  • Accuracy: 0.9578392621870883
  • Precision: 0.9476190476190476
  • Recall: 0.9045454545454545
  • AUC: 0.9714032720526227
  • F1: 0.9255813953488372

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/evandrodiniz/autonlp-api-boamente-417310788

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("evandrodiniz/autonlp-api-boamente-417310788", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("evandrodiniz/autonlp-api-boamente-417310788", use_auth_token=True)

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

outputs = model(**inputs)