ramnika003/autotrain-sentiment_analysis_project-705021428

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 705021428
• CO2 Emissions (in grams): 10.03748863138583

Validation Metrics

• Loss: 0.5534441471099854
• Accuracy: 0.768964665184087
• Macro F1: 0.7629008163259284
• Micro F1: 0.768964665184087
• Weighted F1: 0.7685397042536148
• Macro Precision: 0.7658234531650739
• Micro Precision: 0.768964665184087
• Weighted Precision: 0.7684017544026074
• Macro Recall: 0.7603505092881394
• Micro Recall: 0.768964665184087
• Weighted Recall: 0.768964665184087

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/ramnika003/autotrain-sentiment_analysis_project-705021428

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("ramnika003/autotrain-sentiment_analysis_project-705021428", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ramnika003/autotrain-sentiment_analysis_project-705021428", use_auth_token=True)

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

outputs = model(**inputs)