readme: ---
  tags: autotrain
  language: en
  widget:
  - text: "Why is the username the largest part of each card?"
  datasets:
  - Shenzy2/autotrain-data-NER4DesignTutor
  co2_eq_emissions: 0.004032656988228696
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Entity Extraction
  - Model ID: 1169643336
  - CO2 Emissions (in grams): 0.004032656988228696
  
  ## Validation Metrics
  
  - Loss: 0.677674412727356
  - Accuracy: 0.8129095674967235
  - Precision: 0.4424778761061947
  - Recall: 0.4844961240310077
  - F1: 0.4625346901017577
  
  ## 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": "Why is the username the largest part of each card?"}' https://api-inference.huggingface.co/models/Shenzy2/NER4DesignTutor
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForTokenClassification, AutoTokenizer
  
  model = AutoModelForTokenClassification.from_pretrained("Shenzy2/NER4DesignTutor")
  
  tokenizer = AutoTokenizer.from_pretrained("Shenzy2/NER4DesignTutor")
  
  inputs = tokenizer("Why is the username the largest part of each card?", return_tensors="pt")
  
  outputs = model(**inputs)
  ```