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---
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)
``` |