README.md

metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - MICADEE/autonlp-data-imdb-sentiment-analysis2

Model Trained Using AutoNLP

• Problem type: Binary Classification
• Model ID: 7121569

Validation Metrics

• Loss: 0.2151782214641571
• Accuracy: 0.9271
• Precision: 0.9469285415796072
• Recall: 0.9051328140603155
• AUC: 0.9804569416956057
• F1: 0.925559072807107

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/MICADEE/autonlp-imdb-sentiment-analysis2-7121569

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("MICADEE/autonlp-imdb-sentiment-analysis2-7121569", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("MICADEE/autonlp-imdb-sentiment-analysis2-7121569", use_auth_token=True)

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

outputs = model(**inputs)