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Lucifermorningstar011
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autotrain-ner-778023879

Token Classification
Transformers
PyTorch
English
distilbert
Trained with AutoTrain
Inference Endpoints
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autotrain-ner-778023879 / README.md
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metadata
tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - Lucifermorningstar011/autotrain-data-ner
co2_eq_emissions: 43.26533004662002

Model Trained Using AutoTrain

  • Problem type: Entity Extraction
  • Model ID: 778023879
  • CO2 Emissions (in grams): 43.26533004662002

Validation Metrics

  • Loss: 5.475859779835446e-06
  • Accuracy: 0.9999996519918594
  • Precision: 0.0
  • Recall: 0.0
  • F1: 0.0

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/Lucifermorningstar011/autotrain-ner-778023879

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("Lucifermorningstar011/autotrain-ner-778023879", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Lucifermorningstar011/autotrain-ner-778023879", use_auth_token=True)

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

outputs = model(**inputs)