metadata

tags: autonlp
language: bn
widget:
  - text: I love AutoNLP 🤗
datasets:
  - albertvillanova/autonlp-data-baselines-indic_glue-multi_class_classification

Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 1351187

Validation Metrics

Loss: 0.46760785579681396
Accuracy: 0.8412473423104181
Macro F1: 0.8151341402067301
Micro F1: 0.8412473423104181
Weighted F1: 0.8458231431392536
Macro Precision: 0.804355047657178
Micro Precision: 0.8412473423104181
Weighted Precision: 0.8606653801556983
Macro Recall: 0.8328042776824057
Micro Recall: 0.8412473423104181
Weighted Recall: 0.8412473423104181

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-baselines-indic_glue-multi_class_classification-1351187

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("albertvillanova/autonlp-baselines-indic_glue-multi_class_classification-1351187", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("albertvillanova/autonlp-baselines-indic_glue-multi_class_classification-1351187", use_auth_token=True)

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

outputs = model(**inputs)