readme: ---
  tags: autotrain
  language: en
  widget:
  - text: "I love AutoTrain 🤗"
  datasets:
  - ismail-lucifer011/autotrain-data-company_all
  co2_eq_emissions: 0.848790823793881
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Entity Extraction
  - Model ID: 903429548
  - CO2 Emissions (in grams): 0.848790823793881
  
  ## Validation Metrics
  
  - Loss: 0.006148040760308504
  - Accuracy: 0.9979930566588805
  - Precision: 0.9814944904963571
  - Recall: 0.9817210885036588
  - F1: 0.9816077764228254
  
  ## 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-company_all-903429548
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForTokenClassification, AutoTokenizer
  
  model = AutoModelForTokenClassification.from_pretrained("ismail-lucifer011/autotrain-company_all-903429548", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("ismail-lucifer011/autotrain-company_all-903429548", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```