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abhishek
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autonlp-imdb-roberta-base-3662644

Text Classification
Transformers
PyTorch
Enawené-Nawé
roberta
Trained with AutoTrain
Inference Endpoints
Model card Files Community
autonlp-imdb-roberta-base-3662644 / README.md
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metadata
tags: autonlp
language: unk
widget:
  - text: I love AutoNLP 🤗
datasets:
  - abhishek/autonlp-data-imdb-roberta-base
co2_eq_emissions: 25.894117734124272

Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 3662644
  • CO2 Emissions (in grams): 25.894117734124272

Validation Metrics

  • Loss: 0.20277436077594757
  • Accuracy: 0.92604
  • Precision: 0.9560674830864092
  • Recall: 0.89312
  • AUC: 0.9814625504000001
  • F1: 0.9235223559581421

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/abhishek/autonlp-imdb-roberta-base-3662644

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("abhishek/autonlp-imdb-roberta-base-3662644", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("abhishek/autonlp-imdb-roberta-base-3662644", use_auth_token=True)

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

outputs = model(**inputs)