readme: ---
  tags: 
  - autotrain
  language: en
  widget:
  - text: "I love AutoTrain \U0001F917"
  datasets:
  - lewtun/autotrain-data-acronym-identification
  - acronym_identification
  co2_eq_emissions: 10.435358044493652
  model-index:
  - name: autotrain-demo
    results:
    - task:
        name: Token Classification
        type: token-classification
      dataset:
        name: acronym_identification
        type: acronym_identification
        args: default
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9708090976211485
    - task:
        type: token-classification
        name: Token Classification
      dataset:
        name: acronym_identification
        type: acronym_identification
        config: default
        split: train
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9790777669399117
        verified: true
      - name: Precision
        type: precision
        value: 0.9197835301644851
        verified: true
      - name: Recall
        type: recall
        value: 0.946479027789208
        verified: true
      - name: F1
        type: f1
        value: 0.9329403493591477
        verified: true
      - name: loss
        type: loss
        value: 0.06360606849193573
        verified: true
    - task:
        type: token-classification
        name: Token Classification
      dataset:
        name: acronym_identification
        type: acronym_identification
        config: default
        split: validation
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9758354452761242
        verified: true
      - name: Precision
        type: precision
        value: 0.9339674814732883
        verified: true
      - name: Recall
        type: recall
        value: 0.9159344831326608
        verified: true
      - name: F1
        type: f1
        value: 0.9248630887185104
        verified: true
      - name: loss
        type: loss
        value: 0.07593930512666702
        verified: true
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Entity Extraction
  - Model ID: 7324788
  - CO2 Emissions (in grams): 10.435358044493652
  
  ## Validation Metrics
  
  - Loss: 0.08991389721632004
  - Accuracy: 0.9708090976211485
  - Precision: 0.8998421675654347
  - Recall: 0.9309429854401959
  - F1: 0.9151284109149278
  
  ## 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/lewtun/autotrain-acronym-identification-7324788
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForTokenClassification, AutoTokenizer
  
  model = AutoModelForTokenClassification.from_pretrained("lewtun/autotrain-acronym-identification-7324788", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("lewtun/autotrain-acronym-identification-7324788", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```