README.md

metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - philschmid/autonlp-data-tweet_eval_vs_comprehend

Model Trained Using AutoNLP

• Problem type: Multi-class Classification
• Model ID: 3092245

Validation Metrics

• Loss: 0.5564454197883606
• Accuracy: 0.8057705840957072
• Macro F1: 0.7536021792986777
• Micro F1: 0.8057705840957073
• Weighted F1: 0.8011390170248318
• Macro Precision: 0.7817458823222652
• Micro Precision: 0.8057705840957072
• Weighted Precision: 0.8025156844840151
• Macro Recall: 0.7369154685020982
• Micro Recall: 0.8057705840957072
• Weighted Recall: 0.8057705840957072

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/philschmid/autonlp-tweet_eval_vs_comprehend-3092245

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("philschmid/autonlp-tweet_eval_vs_comprehend-3092245", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("philschmid/autonlp-tweet_eval_vs_comprehend-3092245", use_auth_token=True)

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

outputs = model(**inputs)