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wangsheng
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autonlp-poi_train-31237266

Text Classification
Transformers
PyTorch
Enawené-Nawé
bert
Trained with AutoTrain
Inference Endpoints
Model card Files Community
autonlp-poi_train-31237266 / README.md
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metadata
tags: autonlp
language: unk
widget:
  - text: I love AutoNLP 🤗
datasets:
  - wangsheng/autonlp-data-poi_train
co2_eq_emissions: 390.39411176775826

Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 31237266
  • CO2 Emissions (in grams): 390.39411176775826

Validation Metrics

  • Loss: 0.1643059253692627
  • Accuracy: 0.9379398019660155
  • Precision: 0.7467491278147795
  • Recall: 0.7158710854363028
  • AUC: 0.9631629384458238
  • F1: 0.7309841664079478

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/wangsheng/autonlp-poi_train-31237266

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("wangsheng/autonlp-poi_train-31237266", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("wangsheng/autonlp-poi_train-31237266", use_auth_token=True)

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

outputs = model(**inputs)