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Smone55
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autonlp-au_topics-452311620

Text Classification
Transformers
PyTorch
English
bert
Trained with AutoTrain
Carbon Emissions
Inference Endpoints
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autonlp-au_topics-452311620 / README.md
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metadata
tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - Smone55/autonlp-data-au_topics
co2_eq_emissions: 208.0823957145878

Model Trained Using AutoNLP

  • Problem type: Multi-class Classification
  • Model ID: 452311620
  • CO2 Emissions (in grams): 208.0823957145878

Validation Metrics

  • Loss: 0.5259971022605896
  • Accuracy: 0.8767479025169796
  • Macro F1: 0.8618813750734912
  • Micro F1: 0.8767479025169796
  • Weighted F1: 0.8742964006840133
  • Macro Precision: 0.8627700506991158
  • Micro Precision: 0.8767479025169796
  • Weighted Precision: 0.8755603985289852
  • Macro Recall: 0.8662183006750934
  • Micro Recall: 0.8767479025169796
  • Weighted Recall: 0.8767479025169796

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/Smone55/autonlp-au_topics-452311620

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Smone55/autonlp-au_topics-452311620", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Smone55/autonlp-au_topics-452311620", use_auth_token=True)

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

outputs = model(**inputs)