metadata

tags:
  - autotrain
  - token-classification
language:
  - unk
widget:
  - text: I love AutoTrain
datasets:
  - >-
    callebergstrom/autotrain-data-bert-political-statements-and-questions-swedish-ner
co2_eq_emissions:
  emissions: 0.1436872980177535

Model Trained Using AutoTrain

Problem type: Entity Extraction
Model ID: 69812137999
CO2 Emissions (in grams): 0.1437

Validation Metrics

Loss: 0.000
Accuracy: 1.000
Precision: 1.000
Recall: 0.999
F1: 0.999

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/callebergstrom/autotrain-bert-political-statements-and-questions-swedish-ner-69812137999

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("callebergstrom/autotrain-bert-political-statements-and-questions-swedish-ner-69812137999", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("callebergstrom/autotrain-bert-political-statements-and-questions-swedish-ner-69812137999", use_auth_token=True)

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

outputs = model(**inputs)