Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 55566129341
CO2 Emissions (in grams): 2.1069

Validation Metrics

Loss: 0.652
Accuracy: 0.780
Macro F1: 0.761
Micro F1: 0.780
Weighted F1: 0.780
Macro Precision: 0.759
Micro Precision: 0.780
Weighted Precision: 0.781
Macro Recall: 0.763
Micro Recall: 0.780
Weighted Recall: 0.780

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/Ramya2300/autotrain-final-sentiment-analysis-55566129341

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Ramya2300/autotrain-final-sentiment-analysis-55566129341", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Ramya2300/autotrain-final-sentiment-analysis-55566129341", use_auth_token=True)

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

outputs = model(**inputs)