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autonlp-pos-tag-bosque

Token Classification Transformers PyTorch
Portuguese bert Trained with AutoTrain Carbon Emissions Inference Endpoints
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metadata
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