Modelpublic

CH0KUN/autotrain-TNC_Domain_WangchanBERTa-921730254

sourceHugging Faceupdated 4y agoView on Hugging Face

0likes22downloads

Model Card

Model Trained Using AutoTrain

—Problem type: Multi-class Classification
—Model ID: 921730254
—CO2 Emissions (in grams): 25.144394918865913

Validation Metrics

—Loss: 0.7080970406532288
—Accuracy: 0.7775925925925926
—Macro F1: 0.7758012615987406
—Micro F1: 0.7775925925925925
—Weighted F1: 0.7758012615987406
—Macro Precision: 0.7833307663368776
—Micro Precision: 0.7775925925925926
—Weighted Precision: 0.7833307663368777
—Macro Recall: 0.7775925925925926
—Micro Recall: 0.7775925925925926
—Weighted Recall: 0.7775925925925926

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_Domain_WangchanBERTa-921730254

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("CH0KUN/autotrain-TNC_Domain_WangchanBERTa-921730254", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("CH0KUN/autotrain-TNC_Domain_WangchanBERTa-921730254", use_auth_token=True)

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

outputs = model(**inputs)