Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 90916144409
CO2 Emissions (in grams): 0.3622

Validation Metrics

Loss: 0.317
Accuracy: 0.893
Macro F1: 0.869
Micro F1: 0.893
Weighted F1: 0.893
Macro Precision: 0.869
Micro Precision: 0.893
Weighted Precision: 0.895
Macro Recall: 0.869
Micro Recall: 0.893
Weighted Recall: 0.893

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/botdevringring/autotrain-en-naxai-ai-sentiment-classification-90916144409

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("botdevringring/autotrain-en-naxai-ai-sentiment-classification-90916144409", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("botdevringring/autotrain-en-naxai-ai-sentiment-classification-90916144409", use_auth_token=True)

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

outputs = model(**inputs)