README.md

metadata

tags:
  - autonlp
language: it
widget:
  - text: I love AutoNLP 🤗
datasets:
  - mgrella/autonlp-data-bank-transaction-classification

Model Trained Using AutoNLP

• Problem type: Multi-class Classification
• Model ID: 5521155

Validation Metrics

• Loss: 1.3173143863677979
• Accuracy: 0.8220706757594545
• Macro F1: 0.5713688384455807
• Micro F1: 0.8220706757594544
• Weighted F1: 0.8217158913702755
• Macro Precision: 0.6064387992817253
• Micro Precision: 0.8220706757594545
• Weighted Precision: 0.8491515834140735
• Macro Recall: 0.5873349311175117
• Micro Recall: 0.8220706757594545
• Weighted Recall: 0.8220706757594545

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/mgrella/autonlp-bank-transaction-classification-5521155

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("mgrella/autonlp-bank-transaction-classification-5521155", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("mgrella/autonlp-bank-transaction-classification-5521155", use_auth_token=True)

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

outputs = model(**inputs)