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Chijioke
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autonlp-mono-625317956

Text Classification
Transformers
PyTorch
English
distilbert
Trained with AutoTrain
Carbon Emissions
Inference Endpoints
Model card Files Community
autonlp-mono-625317956 / README.md
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metadata
tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - Chijioke/autonlp-data-mono
co2_eq_emissions: 1.1406456838043837

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)