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

Model Trained Using AutoTrain

  • Problem type: Multi-class Classification
  • Model ID: 966432121
  • CO2 Emissions (in grams): 0.21529888368377176

Validation Metrics

  • Loss: 0.6013365983963013
  • Accuracy: 0.737791286727457
  • Macro F1: 0.729171012281939
  • Micro F1: 0.737791286727457
  • Weighted F1: 0.729171012281939
  • Macro Precision: 0.7313770127538427
  • Micro Precision: 0.737791286727457
  • Weighted Precision: 0.7313770127538428
  • Macro Recall: 0.737791286727457
  • Micro Recall: 0.737791286727457
  • Weighted Recall: 0.737791286727457

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 driving this car"}' https://api-inference.huggingface.co/models/qualitydatalab/autotrain-car-review-project-966432121

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("qualitydatalab/autotrain-car-review-project-966432121", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("qualitydatalab/autotrain-car-review-project-966432121", use_auth_token=True)

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

outputs = model(**inputs)
Downloads last month
17
Inference Examples
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.

Dataset used to train qualitydatalab/autotrain-car-review-project-966432121

Space using qualitydatalab/autotrain-car-review-project-966432121 1