Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 896929583
CO2 Emissions (in grams): 20.85550802376653

Validation Metrics

Loss: 0.8998094797134399
Accuracy: 0.717983651226158
Macro F1: 0.6850466044284794
Micro F1: 0.717983651226158
Weighted F1: 0.7093970537930665
Macro Precision: 0.692166692035814
Micro Precision: 0.717983651226158
Weighted Precision: 0.7181745683190863
Macro Recall: 0.6985625924834511
Micro Recall: 0.717983651226158
Weighted Recall: 0.717983651226158

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/vreese2414/autotrain-test-frank-896929583

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("vreese2414/autotrain-test-frank-896929583", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("vreese2414/autotrain-test-frank-896929583", use_auth_token=True)

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

outputs = model(**inputs)