readme: ---
  tags: autotrain
  language: en
  widget:
  - text: "I love AutoTrain 🤗"
  datasets:
  - ismail-lucifer011/autotrain-data-name_all
  co2_eq_emissions: 0.527083766435658
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Entity Extraction
  - Model ID: 904029569
  - CO2 Emissions (in grams): 0.527083766435658
  
  ## Validation Metrics
  
  - Loss: 0.0036354903131723404
  - Accuracy: 0.9989951257999512
  - Precision: 0.9888963290924173
  - Recall: 0.9934437092741895
  - F1: 0.9911648034619546
  
  ## 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/ismail-lucifer011/autotrain-name_all-904029569
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForTokenClassification, AutoTokenizer
  
  model = AutoModelForTokenClassification.from_pretrained("ismail-lucifer011/autotrain-name_all-904029569", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("ismail-lucifer011/autotrain-name_all-904029569", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```