readme: ---
  tags: autonlp
  language: pt
  widget:
  - text: "I love AutoNLP 🤗"
  datasets:
  - Emanuel/autonlp-data-pos-tag-bosque
  co2_eq_emissions: 6.2107269129101805
  ---
  
  # Model Trained Using AutoNLP
  
  - Problem type: Entity Extraction
  - Model ID: 21124427
  - CO2 Emissions (in grams): 6.2107269129101805
  
  ## Validation Metrics
  
  - Loss: 0.09813392907381058
  - Accuracy: 0.9714309035997062
  - Precision: 0.9721275936822545
  - Recall: 0.9735345807918949
  - F1: 0.9728305785123967
  
  ## 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 AutoNLP"}' https://api-inference.huggingface.co/models/Emanuel/autonlp-pos-tag-bosque-21124427
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForTokenClassification, AutoTokenizer
  
  model = AutoModelForTokenClassification.from_pretrained("Emanuel/autonlp-pos-tag-bosque")
  
  tokenizer = AutoTokenizer.from_pretrained("Emanuel/autonlp-pos-tag-bosque")
  
  inputs = tokenizer("A noiva casa de branco", return_tensors="pt")
  
  outputs = model(**inputs)
  
  labelids = outputs.logits.squeeze().argmax(axis=-1)
  labels = [model.config.id2label[int(x)] for x in labelids]
  labels = labels[1:-1]# Filter start and end of sentence symbols
  
  ```