readme: ---
  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)
  ```