README.md

metadata

tags:
  - autotrain
  - token-classification
language:
  - en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - hemangjoshi37a/autotrain-data-stocks-ner-2000-sample-test
co2_eq_emissions:
  emissions: 0.011029408706604873

Model Trained Using AutoTrain

• Problem type: Entity Extraction
• Model ID: 1676759313
• CO2 Emissions (in grams): 0.0110

Validation Metrics

• Loss: 0.097
• Accuracy: 0.973
• Precision: 0.903
• Recall: 0.921
• F1: 0.912

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/hemangjoshi37a/autotrain-stocks-ner-2000-sample-test-1676759313

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("hemangjoshi37a/autotrain-stocks-ner-2000-sample-test-1676759313", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("hemangjoshi37a/autotrain-stocks-ner-2000-sample-test-1676759313", use_auth_token=True)

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

outputs = model(**inputs)