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lewtun
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autotrain-acronym-identification-7324788

Token Classification
Transformers
PyTorch
English
bert
Trained with AutoTrain
Eval Results
Carbon Emissions
Inference Endpoints
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autotrain-acronym-identification-7324788 / README.md
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metadata
tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - lewtun/autotrain-data-acronym-identification
co2_eq_emissions: 10.435358044493652

Model Trained Using AutoTrain

  • Problem type: Entity Extraction
  • Model ID: 7324788
  • CO2 Emissions (in grams): 10.435358044493652

Validation Metrics

  • Loss: 0.08991389721632004
  • Accuracy: 0.9708090976211485
  • Precision: 0.8998421675654347
  • Recall: 0.9309429854401959
  • F1: 0.9151284109149278

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/lewtun/autotrain-acronym-identification-7324788

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("lewtun/autotrain-acronym-identification-7324788", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("lewtun/autotrain-acronym-identification-7324788", use_auth_token=True)

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

outputs = model(**inputs)