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am4nsolanki
/
autonlp-text-hateful-memes-36789092

Text Classification
Transformers
PyTorch
English
distilbert
Trained with AutoTrain
Inference Endpoints
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Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 36789092
  • CO2 Emissions (in grams): 1.4280361775467445

Validation Metrics

  • Loss: 0.5255328416824341
  • Accuracy: 0.7666078777189889
  • Precision: 0.6913123844731978
  • Recall: 0.6192052980132451
  • AUC: 0.7893359070795125
  • F1: 0.6532751091703057

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/am4nsolanki/autonlp-text-hateful-memes-36789092

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("am4nsolanki/autonlp-text-hateful-memes-36789092", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("am4nsolanki/autonlp-text-hateful-memes-36789092", use_auth_token=True)

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

outputs = model(**inputs)
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