README.md

metadata

tags: autonlp
language: bn
widget:
  - text: I love AutoNLP 🤗
datasets:
  - albertvillanova/autonlp-data-indic_glue-multi_class_classification-1e67664

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)