KeithHorgan/TweetClimateAnalysis

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 678720226
• CO2 Emissions (in grams): 133.19491276284793

Validation Metrics

• Loss: 0.4864234924316406
• Accuracy: 0.865424430641822
• Macro F1: 0.7665472174344069
• Micro F1: 0.8654244306418221
• Weighted F1: 0.8586375445115083
• Macro Precision: 0.8281449061702826
• Micro Precision: 0.865424430641822
• Weighted Precision: 0.8619727477790186
• Macro Recall: 0.736576343905098
• Micro Recall: 0.865424430641822
• Weighted Recall: 0.865424430641822

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/KeithHorgan98/autotrain-TweetClimateAnalysis-678720226

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("KeithHorgan98/autotrain-TweetClimateAnalysis-678720226", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("KeithHorgan98/autotrain-TweetClimateAnalysis-678720226", use_auth_token=True)

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

outputs = model(**inputs)