README.md

metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - am4nsolanki/autonlp-data-text-hateful-memes
co2_eq_emissions: 1.4280361775467445

Model Trained Using AutoNLP

• Problem type: Binary Classification
• Model ID: 36789092
• CO2 Emissions (in grams): 1.4280361775467445

Validation Metrics

• Loss: 0.5255328416824341
• Accuracy: 0.7666078777189889
• Precision: 0.6913123844731978
• Recall: 0.6192052980132451
• AUC: 0.7893359070795125
• F1: 0.6532751091703057

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/am4nsolanki/autonlp-text-hateful-memes-36789092

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("am4nsolanki/autonlp-text-hateful-memes-36789092", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("am4nsolanki/autonlp-text-hateful-memes-36789092", use_auth_token=True)

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

outputs = model(**inputs)