readme: ---
  tags:
  - autotrain
  - token-classification
  language:
  - unk
  widget:
  - text: "I love AutoTrain 🤗"
  datasets:
  - teacookies/autotrain-data-21-12-2022_exam_part5
  co2_eq_emissions:
    emissions: 11.403028098792594
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Entity Extraction
  - Model ID: 2557978193
  - CO2 Emissions (in grams): 11.4030
  
  ## Validation Metrics
  
  - Loss: 0.001
  - Accuracy: 1.000
  - Precision: 0.988
  - Recall: 0.998
  - F1: 0.993
  
  ## 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 AutoTrain"}' https://api-inference.huggingface.co/models/teacookies/autotrain-21-12-2022_exam_part5-2557978193
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForTokenClassification, AutoTokenizer
  
  model = AutoModelForTokenClassification.from_pretrained("teacookies/autotrain-21-12-2022_exam_part5-2557978193", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("teacookies/autotrain-21-12-2022_exam_part5-2557978193", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```