readme: ---
  tags:
  - autotrain
  - token-classification
  language:
  - unk
  widget:
  - text: "I’m sorry but I just can’t seem to wrap my head around it. - I’m sorry but I just can’t seem to understand."
  - text: "Why are you so bent out of shape? - Why are you so upset?"
  - text: "Listen, it is easier said than done, many people lack commitment."
  datasets:
  - imranraad/autotrain-data-magpie-metaphor-xlmr
  co2_eq_emissions:
    emissions: 9.232131148683266
  ---
  
  # Fine-tune datasets
   - MAGPIE corpus: https://aclanthology.org/2020.lrec-1.35/
  
  # Model Trained Using AutoTrain
  
  - Problem type: Entity Extraction
  - Model ID: 1590556166
  - CO2 Emissions (in grams): 9.2321
  
  ## Validation Metrics
  
  - Loss: 0.137
  - Accuracy: 0.985
  - Precision: 0.000
  - Recall: 0.000
  - F1: 0.000
  
  ## 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/imranraad/autotrain-magpie-metaphor-xlmr-1590556166
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForTokenClassification, AutoTokenizer
  
  model = AutoModelForTokenClassification.from_pretrained("imranraad/autotrain-magpie-metaphor-xlmr-1590556166", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("imranraad/autotrain-magpie-metaphor-xlmr-1590556166", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```