README.md

metadata

tags: autonlp
language: unk
widget:
  - text: I love AutoNLP 🤗
datasets:
  - staceythompson/autonlp-data-myclassification-fortext

Model Trained Using AutoNLP

• Problem type: Multi-class Classification
• Model ID: 16332728

Validation Metrics

• Loss: 0.08077391237020493
• Accuracy: 0.9846153846153847
• Macro F1: 0.9900793650793651
• Micro F1: 0.9846153846153847
• Weighted F1: 0.9846153846153847
• Macro Precision: 0.9900793650793651
• Micro Precision: 0.9846153846153847
• Weighted Precision: 0.9846153846153847
• Macro Recall: 0.9900793650793651
• Micro Recall: 0.9846153846153847
• Weighted Recall: 0.9846153846153847

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/staceythompson/autonlp-myclassification-fortext-16332728

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("staceythompson/autonlp-myclassification-fortext-16332728", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("staceythompson/autonlp-myclassification-fortext-16332728", use_auth_token=True)

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

outputs = model(**inputs)