README.md

metadata

tags: autonlp
language: unk
widget:
  - text: I love AutoNLP 🤗
datasets:
  - rexxar96/autonlp-data-roberta-large-finetuned
co2_eq_emissions: 73.72876780772296

Model Trained Using AutoNLP

• Problem type: Binary Classification
• Model ID: 467612250
• CO2 Emissions (in grams): 73.72876780772296

Validation Metrics

• Loss: 0.18261319398880005
• Accuracy: 0.9541659567217584
• Precision: 0.9530625832223701
• Recall: 0.9572049481778669
• AUC: 0.9901737875196123
• F1: 0.9551292743953294

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/rexxar96/autonlp-roberta-large-finetuned-467612250

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("rexxar96/autonlp-roberta-large-finetuned-467612250", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("rexxar96/autonlp-roberta-large-finetuned-467612250", use_auth_token=True)

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

outputs = model(**inputs)