Hugging Face's logo

sefaozalpadl
/
stop_the_steal_relevancy_analysis-binary

Text Classification
Transformers
PyTorch
English
roberta
coe
Carbon Emissions
Inference Endpoints
Model card Files Community
stop_the_steal_relevancy_analysis-binary / README.md
abhishek's picture
abhishek HF staff
Commit From AutoNLP
e98f2b9
preview code
|
raw history blame
No virus
1.27 kB
metadata
tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - sefaozalpadl/autonlp-data-stop_the_steal_relevancy_analysis
co2_eq_emissions: 0.6503024714880831

Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 23995359
  • CO2 Emissions (in grams): 0.6503024714880831

Validation Metrics

  • Loss: 0.49598395824432373
  • Accuracy: 0.7907801418439716
  • Precision: 0.7841726618705036
  • Recall: 0.7898550724637681
  • AUC: 0.8774154589371981
  • F1: 0.7870036101083032

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/sefaozalpadl/autonlp-stop_the_steal_relevancy_analysis-23995359

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("sefaozalpadl/autonlp-stop_the_steal_relevancy_analysis-23995359", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("sefaozalpadl/autonlp-stop_the_steal_relevancy_analysis-23995359", use_auth_token=True)

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

outputs = model(**inputs)