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Commit From AutoNLP
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metadata
tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - >-
    DrishtiSharma/autonlp-data-Text-Classification-Catalonia-Independence-AutoNLP
co2_eq_emissions: 3.622203603306694

Model Trained Using AutoNLP

  • Problem type: Multi-class Classification
  • Model ID: 633018323
  • CO2 Emissions (in grams): 3.622203603306694

Validation Metrics

  • Loss: 0.681106686592102
  • Accuracy: 0.709136109384711
  • Macro F1: 0.6987186860138147
  • Micro F1: 0.709136109384711
  • Weighted F1: 0.7059639788836748
  • Macro Precision: 0.7174345617951404
  • Micro Precision: 0.709136109384711
  • Weighted Precision: 0.712710833401347
  • Macro Recall: 0.6912117894374218
  • Micro Recall: 0.709136109384711
  • Weighted Recall: 0.709136109384711

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/DrishtiSharma/autonlp-Text-Classification-Catalonia-Independence-AutoNLP-633018323

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("DrishtiSharma/autonlp-Text-Classification-Catalonia-Independence-AutoNLP-633018323", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("DrishtiSharma/autonlp-Text-Classification-Catalonia-Independence-AutoNLP-633018323", use_auth_token=True)

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

outputs = model(**inputs)