Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1281048987
CO2 Emissions (in grams): 16.6859

Validation Metrics

Loss: 0.617
Accuracy: 0.734
Macro F1: 0.690
Micro F1: 0.734
Weighted F1: 0.725
Macro Precision: 0.753
Micro Precision: 0.734
Weighted Precision: 0.739
Macro Recall: 0.669
Micro Recall: 0.734
Weighted Recall: 0.734

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/sasha/autotrain-RobertaBaseTweetEval-1281048987

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("sasha/autotrain-RobertaBaseTweetEval-1281048987", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("sasha/autotrain-RobertaBaseTweetEval-1281048987", use_auth_token=True)

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

outputs = model(**inputs)