README.md

metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - bshlgrs/autonlp-data-classification_with_all_labellers

Model Trained Using AutoNLP

• Problem type: Multi-class Classification
• Model ID: 9532137

Validation Metrics

• Loss: 0.34556105732917786
• Accuracy: 0.8749890724713699
• Macro F1: 0.5243623959669343
• Micro F1: 0.8749890724713699
• Weighted F1: 0.8638030768409057
• Macro Precision: 0.5016762404900895
• Micro Precision: 0.8749890724713699
• Weighted Precision: 0.8547962562614184
• Macro Recall: 0.5529674694200845
• Micro Recall: 0.8749890724713699
• Weighted Recall: 0.8749890724713699

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/bshlgrs/autonlp-classification_with_all_labellers-9532137

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("bshlgrs/autonlp-classification_with_all_labellers-9532137", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("bshlgrs/autonlp-classification_with_all_labellers-9532137", use_auth_token=True)

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

outputs = model(**inputs)