metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - pierric/autonlp-data-my-own-imdb-sentiment-analysis

Model Trained Using AutoNLP

Problem type: Binary Classification
Model ID: 2131817

Validation Metrics

Loss: 0.24430708587169647
Accuracy: 0.9452
Precision: 0.9303944315545244
Recall: 0.9624
AUC: 0.9793824287999999
F1: 0.946126622099882

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/pierric/autonlp-my-own-imdb-sentiment-analysis-2131817

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("pierric/autonlp-my-own-imdb-sentiment-analysis-2131817", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("pierric/autonlp-my-own-imdb-sentiment-analysis-2131817", use_auth_token=True)

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

outputs = model(**inputs)