autonlp-indic_glue-multi_class_classification-1e67664-1311135 – AI Model by albertvillanova | AlphaNeural AI

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albertvillanova/
autonlp-indic_glue-multi_class_classification-1e67664-1311135

like

0

text-classification

albertvillanova/autonlp-data-indic_glue-multi_class_classification-1e67664

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 1311135

Validation Metrics

Loss: 0.35616958141326904
Accuracy: 0.8979447200566973
Macro F1: 0.8545383956197669
Micro F1: 0.8979447200566975
Weighted F1: 0.8983951947775538
Macro Precision: 0.8615833774439791
Micro Precision: 0.8979447200566973
Weighted Precision: 0.9013559365881655
Macro Recall: 0.8516503001777104
Micro Recall: 0.8979447200566973
Weighted Recall: 0.8979447200566973

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 AutoNLP"}' https://api-inference.huggingface.co/models/albertvillanova/autonlp-indic_glue-multi_class_classification-1e67664-1311135

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("albertvillanova/autonlp-indic_glue-multi_class_classification-1e67664-1311135", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("albertvillanova/autonlp-indic_glue-multi_class_classification-1e67664-1311135", use_auth_token=True)

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

outputs = model(**inputs)