readme: ---
  tags: autonlp
  language: en
  widget:
  - text: "I love AutoNLP 🤗"
  datasets:
  - abhishek/autonlp-data-prodigy-10
  co2_eq_emissions: 5.340540212393564
  ---
  
  # Model Trained Using AutoNLP
  
  - Problem type: Entity Extraction
  - Model ID: 3362554
  - CO2 Emissions (in grams): 5.340540212393564
  
  ## Validation Metrics
  
  - Loss: 0.14167872071266174
  - Accuracy: 0.9587076867229332
  - Precision: 0.7351351351351352
  - Recall: 0.7923728813559322
  - F1: 0.7626816212082591
  
  ## 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/abhishek/autonlp-prodigy-10-3362554
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForTokenClassification, AutoTokenizer
  
  model = AutoModelForTokenClassification.from_pretrained("abhishek/autonlp-prodigy-10-3362554", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("abhishek/autonlp-prodigy-10-3362554", use_auth_token=True)
  
  inputs = tokenizer("I love AutoNLP", return_tensors="pt")
  
  outputs = model(**inputs)
  ```