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smirki
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autotrain-ner-8-86129142996

Token Classification
Transformers
PyTorch
Safetensors
English
bert
Trained with AutoTrain
Carbon Emissions
Inference Endpoints
Model card Files Community
autotrain-ner-8-86129142996 / README.md
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metadata
tags:
  - autotrain
  - token-classification
language:
  - en
widget:
  - text: I love AutoTrain
datasets:
  - smirki/autotrain-data-ner-8
co2_eq_emissions:
  emissions: 0.36206926404601303

Model Trained Using AutoTrain

  • Problem type: Entity Extraction
  • Model ID: 86129142996
  • CO2 Emissions (in grams): 0.3621

Validation Metrics

  • Loss: 0.230
  • Accuracy: 0.940
  • Precision: 0.902
  • Recall: 0.902
  • F1: 0.902

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/smirki/autotrain-ner-8-86129142996

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("smirki/autotrain-ner-8-86129142996", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("smirki/autotrain-ner-8-86129142996", use_auth_token=True)

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

outputs = model(**inputs)