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Commit From AutoNLP
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metadata
tags: autonlp
language: zh
widget:
  - text: I love AutoNLP 🤗
datasets:
  - kyleinincubated/autonlp-data-cat333
co2_eq_emissions: 2.267288583123193

Model Trained Using AutoNLP

  • Problem type: Multi-class Classification
  • Model ID: 624217911
  • CO2 Emissions (in grams): 2.267288583123193

Validation Metrics

  • Loss: 0.39670249819755554
  • Accuracy: 0.9098901098901099
  • Macro F1: 0.7398394202169645
  • Micro F1: 0.9098901098901099
  • Weighted F1: 0.9073329464119164
  • Macro Precision: 0.7653753530396269
  • Micro Precision: 0.9098901098901099
  • Weighted Precision: 0.9096917983040914
  • Macro Recall: 0.7382843728794468
  • Micro Recall: 0.9098901098901099
  • Weighted Recall: 0.9098901098901099

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/kyleinincubated/autonlp-cat333-624217911

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("kyleinincubated/autonlp-cat333-624217911", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("kyleinincubated/autonlp-cat333-624217911", use_auth_token=True)

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

outputs = model(**inputs)