README.md

metadata

tags: autonlp
language: unk
widget:
  - text: I love AutoNLP 🤗
datasets:
  - sam890914/autonlp-data-roberta-large2
co2_eq_emissions: 71.60954851696604

Model Trained Using AutoNLP

• Problem type: Binary Classification
• Model ID: 479012819
• CO2 Emissions (in grams): 71.60954851696604

Validation Metrics

• Loss: 0.22774338722229004
• Accuracy: 0.9395126938149599
• Precision: 0.9677075940383251
• Recall: 0.9117352056168505
• AUC: 0.9862377263827619
• F1: 0.9388879325185058

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/sam890914/autonlp-roberta-large2-479012819

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("sam890914/autonlp-roberta-large2-479012819", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("sam890914/autonlp-roberta-large2-479012819", use_auth_token=True)

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

outputs = model(**inputs)