readme: ---
  tags: autotrain
  language: en
  widget:
  - text: "I love AutoTrain 🤗"
  datasets:
  - ismail-lucifer011/autotrain-data-company_vs_all
  co2_eq_emissions: 111.96508441754436
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Entity Extraction
  - Model ID: 902129475
  - CO2 Emissions (in grams): 111.96508441754436
  
  ## Validation Metrics
  
  - Loss: 0.008610366843640804
  - Accuracy: 0.9970010185146537
  - Precision: 0.9815740365517482
  - Recall: 0.9825620993589743
  - F1: 0.9820678194318264
  
  ## 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_vs_all-902129475
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForTokenClassification, AutoTokenizer
  
  model = AutoModelForTokenClassification.from_pretrained("ismail-lucifer011/autotrain-company_vs_all-902129475", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("ismail-lucifer011/autotrain-company_vs_all-902129475", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```