Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 928030564
CO2 Emissions (in grams): 0.07293362913158113

Validation Metrics

Loss: 0.4989683926105499
Accuracy: 0.8445845697329377
Macro F1: 0.8407629450432429
Micro F1: 0.8445845697329377
Weighted F1: 0.8407629450432429
Macro Precision: 0.8390327354531153
Micro Precision: 0.8445845697329377
Weighted Precision: 0.8390327354531154
Macro Recall: 0.8445845697329377
Micro Recall: 0.8445845697329377
Weighted Recall: 0.8445845697329377

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/CH0KUN/autotrain-TNC_Data2500_WangchanBERTa-928030564

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("CH0KUN/autotrain-TNC_Data2500_WangchanBERTa-928030564", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("CH0KUN/autotrain-TNC_Data2500_WangchanBERTa-928030564", use_auth_token=True)

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

outputs = model(**inputs)