Sachinkelenjaguri/climate_sentiment_classifier

Class:

0- Risk
1-Neutral
2-Oppertunity

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 55107128708
• CO2 Emissions (in grams): 0.0012

Validation Metrics

• Loss: 0.516
• Accuracy: 0.806
• Macro F1: 0.783
• Micro F1: 0.806
• Weighted F1: 0.806
• Macro Precision: 0.777
• Micro Precision: 0.806
• Weighted Precision: 0.809
• Macro Recall: 0.793
• Micro Recall: 0.806
• Weighted Recall: 0.806

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/Sachinkelenjaguri/Sachinkelenjaguri/climate_sentiment_classifier

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Sachinkelenjaguri/climate_sentiment_classifier", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Sachinkelenjaguri/climate_sentiment_classifier", use_auth_token=True)

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

outputs = model(**inputs)