README.md

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)