Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1281048989
CO2 Emissions (in grams): 28.0540

Validation Metrics

Loss: 0.587
Accuracy: 0.751
Macro F1: 0.719
Micro F1: 0.751
Weighted F1: 0.746
Macro Precision: 0.761
Micro Precision: 0.751
Weighted Precision: 0.753
Macro Recall: 0.699
Micro Recall: 0.751
Weighted Recall: 0.751

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-1281048989

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("sasha/autotrain-RobertaBaseTweetEval-1281048989", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("sasha/autotrain-RobertaBaseTweetEval-1281048989", use_auth_token=True)

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

outputs = model(**inputs)