Hugging Face's logo

Plenng
/
autotrain-mt5-sentiment-test-50714120989

Text Classification
Transformers
PyTorch
Enawené-Nawé
bert
Trained with AutoTrain
Inference Endpoints
Model card Files Community

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Model Trained Using AutoTrain

  • Problem type: Binary Classification
  • Model ID: 50714120989
  • CO2 Emissions (in grams): 0.0016

Validation Metrics

  • Loss: 0.469
  • Accuracy: 0.818
  • Precision: 0.769
  • Recall: 0.909
  • AUC: 0.917
  • F1: 0.833

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/Plenng/autotrain-mt5-sentiment-test-50714120989

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Plenng/autotrain-mt5-sentiment-test-50714120989", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Plenng/autotrain-mt5-sentiment-test-50714120989", use_auth_token=True)

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

outputs = model(**inputs)
Downloads last month
0
Inference Examples
Text Classification
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.