README.md

metadata

tags:
  - autotrain
  - token-classification
language:
  - en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - Akshata/autotrain-data-person-name-validity1
co2_eq_emissions:
  emissions: 0.015012024821802214

Model Trained Using AutoTrain

• Problem type: Entity Extraction
• Model ID: 1655358687
• CO2 Emissions (in grams): 0.0150

Validation Metrics

• Loss: 0.038
• Accuracy: 0.991
• Precision: 0.000
• Recall: 0.000
• F1: 0.000

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/Akshata/autotrain-person-name-validity1-1655358687

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("Akshata/autotrain-person-name-validity1-1655358687", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Akshata/autotrain-person-name-validity1-1655358687", use_auth_token=True)

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

outputs = model(**inputs)