Edit model card

Model Trained Using AutoTrain

  • Problem type: Multi-class Classification
  • Model ID: 3621496854
  • CO2 Emissions (in grams): 7.9378

Validation Metrics

  • Loss: 0.353
  • Accuracy: 0.905
  • Macro F1: 0.714
  • Micro F1: 0.905
  • Weighted F1: 0.890
  • Macro Precision: 0.712
  • Micro Precision: 0.905
  • Weighted Precision: 0.887
  • Macro Recall: 0.743
  • Micro Recall: 0.905
  • Weighted Recall: 0.905

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/gjbooth2/autotrain-glenn_ntsa_1-3621496854

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("gjbooth2/autotrain-glenn_ntsa_1-3621496854", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("gjbooth2/autotrain-glenn_ntsa_1-3621496854", use_auth_token=True)

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

outputs = model(**inputs)
Downloads last month
2
Inference API
This model can be loaded on Inference API (serverless).