hs_dvs / README.md
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Commit From AutoTrain
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metadata
tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - crcb/autotrain-data-dvs
co2_eq_emissions: 5.1746636998598445

Model Trained Using AutoTrain

  • Problem type: Binary Classification
  • Model ID: 753223051
  • CO2 Emissions (in grams): 5.1746636998598445

Validation Metrics

  • Loss: 0.14639143645763397
  • Accuracy: 0.9493645350010087
  • Precision: 0.5460992907801419
  • Recall: 0.2916666666666667
  • AUC: 0.8843542768404266
  • F1: 0.3802469135802469

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/crcb/autotrain-dvs-753223051

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("crcb/autotrain-dvs-753223051", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-dvs-753223051", use_auth_token=True)

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

outputs = model(**inputs)