README.md

metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - chiragme/autonlp-data-imdb-sentiment-analysis
co2_eq_emissions: 147.38973865706626

Model Trained Using AutoNLP

• Problem type: Binary Classification
• Model ID: 623817873
• CO2 Emissions (in grams): 147.38973865706626

Validation Metrics

• Loss: 0.2412157654762268
• Accuracy: 0.9306
• Precision: 0.9377795851972347
• Recall: 0.9224
• AUC: 0.97000504
• F1: 0.9300262149626941

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/chiragme/autonlp-imdb-sentiment-analysis-623817873

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("chiragme/autonlp-imdb-sentiment-analysis-623817873", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("chiragme/autonlp-imdb-sentiment-analysis-623817873", use_auth_token=True)

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

outputs = model(**inputs)