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kSaluja
/
autonlp-tele_red_data_model-585716433

Token Classification
Transformers
PyTorch
English
bert
Trained with AutoTrain
Inference Endpoints
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Model Trained Using AutoNLP

  • Problem type: Entity Extraction
  • Model ID: 585716433
  • CO2 Emissions (in grams): 2.379476355147211

Validation Metrics

  • Loss: 0.15210922062397003
  • Accuracy: 0.9724770642201835
  • Precision: 0.950836820083682
  • Recall: 0.9625838333921638
  • F1: 0.9566742676723382

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/kSaluja/autonlp-tele_red_data_model-585716433

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("kSaluja/autonlp-tele_red_data_model-585716433", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("kSaluja/autonlp-tele_red_data_model-585716433", use_auth_token=True)

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

outputs = model(**inputs)
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Token Classification
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