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WilliamWen
/
ni_io_03

Token Classification
Transformers
PyTorch
Enawené-Nawé
bert
Trained with AutoTrain
Inference Endpoints
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Model Trained Using AutoTrain

  • Problem type: Entity Extraction
  • Model ID: 50535120664
  • CO2 Emissions (in grams): 0.0020

Validation Metrics

  • Loss: 0.027
  • Accuracy: 0.991
  • Precision: 0.908
  • Recall: 0.908
  • F1: 0.908

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/WilliamWen/autotrain-ni_io_03-50535120664

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("WilliamWen/autotrain-ni_io_03-50535120664", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("WilliamWen/ni_io_03", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)
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Token Classification
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