README.md

metadata

tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - ameerazam08/autotrain-data-imdb
co2_eq_emissions: 0.07308302140406821

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 1166543171
• CO2 Emissions (in grams): 0.07308302140406821

Validation Metrics

• Loss: 0.2211569994688034
• Accuracy: 0.9138
• Precision: 0.9020598523124758
• Recall: 0.9284
• AUC: 0.9711116000000001
• F1: 0.9150404100137985

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 AutoTrain"}' https://api-inference.huggingface.co/models/ameerazam08/autotrain-imdb-1166543171

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("ameerazam08/autotrain-imdb-1166543171", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ameerazam08/autotrain-imdb-1166543171", use_auth_token=True)

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

outputs = model(**inputs)