README.md

metadata

tags:
  - autotrain
  - token-classification
language:
  - unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - onevholy/autotrain-data-bert-ner-cased
co2_eq_emissions:
  emissions: 0.27179932029905673

Model Trained Using AutoTrain

• Problem type: Entity Extraction
• Model ID: 50114120258
• CO2 Emissions (in grams): 0.2718

Validation Metrics

• Loss: 0.011
• Accuracy: 1.000
• Precision: 1.000
• Recall: 1.000
• F1: 1.000

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/onevholy/autotrain-bert-ner-cased-50114120258

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("onevholy/autotrain-bert-ner-cased-50114120258", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("onevholy/autotrain-bert-ner-cased-50114120258", use_auth_token=True)

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

outputs = model(**inputs)