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panashe
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autonlp-eo-590516680

Text Classification
Transformers
PyTorch
English
bert
Trained with AutoTrain
Inference Endpoints
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autonlp-eo-590516680 / README.md
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metadata
tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - panashe/autonlp-data-eo
co2_eq_emissions: 2.3709499644854883

Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 590516680
  • CO2 Emissions (in grams): 2.3709499644854883

Validation Metrics

  • Loss: 0.6466107964515686
  • Accuracy: 0.6608695652173913
  • Precision: 0.6515151515151515
  • Recall: 0.7288135593220338
  • AUC: 0.6334745762711864
  • F1: 0.688

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/panashe/autonlp-eo-590516680

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("panashe/autonlp-eo-590516680", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("panashe/autonlp-eo-590516680", use_auth_token=True)

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

outputs = model(**inputs)