README.md

metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - juliensimon/autonlp-data-imdb-demo-hf

Model Trained Using AutoNLP

• Problem type: Binary Classification
• Model ID: 16622767

Validation Metrics

• Loss: 0.20029613375663757
• Accuracy: 0.9256
• Precision: 0.9090909090909091
• Recall: 0.9466984884645983
• AUC: 0.979257749523025
• F1: 0.9275136399064692

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/juliensimon/autonlp-imdb-demo-hf-16622767

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("juliensimon/autonlp-imdb-demo-hf-16622767", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("juliensimon/autonlp-imdb-demo-hf-16622767", use_auth_token=True)

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

outputs = model(**inputs)