README.md

metadata

tags:
  - autotrain
  - token-classification
language:
  - en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - deepaksiloka/autotrain-data-name_classification_3
co2_eq_emissions:
  emissions: 1.0819688360882111

Model Trained Using AutoTrain

• Problem type: Entity Extraction
• Model ID: 1686659457
• CO2 Emissions (in grams): 1.0820

Validation Metrics

• Loss: 0.087
• Accuracy: 0.978
• Precision: 0.979
• Recall: 0.987
• F1: 0.983

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/deepaksiloka/autotrain-name_classification_3-1686659457

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("deepaksiloka/autotrain-name_classification_3-1686659457", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("deepaksiloka/autotrain-name_classification_3-1686659457", use_auth_token=True)

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

outputs = model(**inputs)