Edit model card
YAML Metadata Error: "tags" must be an array

Model Trained Using AutoTrain

  • Problem type: Multi-class Classification
  • Model ID: 762923432
  • CO2 Emissions (in grams): 0.015536746909294205

Validation Metrics

  • Loss: 0.49825894832611084
  • Accuracy: 0.7962895598399418
  • Macro F1: 0.7997458031044901
  • Micro F1: 0.7962895598399418
  • Weighted F1: 0.796365325858282
  • Macro Precision: 0.7995724418486833
  • Micro Precision: 0.7962895598399418
  • Weighted Precision: 0.7965384250324863
  • Macro Recall: 0.8000290112564951
  • Micro Recall: 0.7962895598399418
  • Weighted Recall: 0.7962895598399418

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/Souvikcmsa/autotrain-sentiment_analysis-762923432

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Souvikcmsa/autotrain-sentiment_analysis-762923432", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Souvikcmsa/autotrain-sentiment_analysis-762923432", use_auth_token=True)

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

outputs = model(**inputs)
Downloads last month
185
Hosted inference API
Text Classification
Examples
Examples
This model can be loaded on the Inference API on-demand.