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Model Trained Using AutoTrain

  • Problem type: Entity Extraction
  • Model ID: 1279048948
  • CO2 Emissions (in grams): 12.1686

Validation Metrics

  • Loss: 0.152
  • Accuracy: 0.959
  • Precision: 0.879
  • Recall: 0.880
  • F1: 0.879

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/shreyas-singh/autotrain-MedicalTokenClassification-1279048948

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("shreyas-singh/autotrain-MedicalTokenClassification-1279048948", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("shreyas-singh/autotrain-MedicalTokenClassification-1279048948", use_auth_token=True)

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

outputs = model(**inputs)
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Token Classification
Examples
Examples
This model can be loaded on the Inference API on-demand.

Dataset used to train shreyas-singh/autotrain-MedicalTokenClassification-1279048948