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Chijioke/autonlp-mono-625317956

sourceHugging Faceupdated 5y agoView on Hugging Face
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Model Card

Model Trained Using AutoNLP

  • —Problem type: Multi-class Classification
  • —Model ID: 625317956
  • —CO2 Emissions (in grams): 1.1406456838043837

Validation Metrics

  • —Loss: 0.513037919998169
  • —Accuracy: 0.8982035928143712
  • —Macro F1: 0.7843756230226546
  • —Micro F1: 0.8982035928143712
  • —Weighted F1: 0.8891653474608059
  • —Macro Precision: 0.8210878091622635
  • —Micro Precision: 0.8982035928143712
  • —Weighted Precision: 0.8888857327766032
  • —Macro Recall: 0.7731018645485747
  • —Micro Recall: 0.8982035928143712
  • —Weighted Recall: 0.8982035928143712

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/Chijioke/autonlp-mono-625317956

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Chijioke/autonlp-mono-625317956", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Chijioke/autonlp-mono-625317956", use_auth_token=True)

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

outputs = model(**inputs)