autotrain-TNC_Domain_WangchanBERTa-921730254 – AI Model by CH0KUN | AlphaNeural AI

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CH0KUN/
autotrain-TNC_Domain_WangchanBERTa-921730254

like

0

text-classification

CH0KUN/autotrain-data-TNC_Domain_WangchanBERTa

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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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)