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---
tags:
- autotrain
- token-classification
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- teacookies/autotrain-data-12-20-2022_rated_speed_only_exam
co2_eq_emissions:
emissions: 7.9382600757577935
---
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 2542677876
- CO2 Emissions (in grams): 7.9383
## Validation Metrics
- Loss: 0.002
- Accuracy: 0.999
- Precision: 0.629
- Recall: 0.706
- F1: 0.666
## 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/teacookies/autotrain-12-20-2022_rated_speed_only_exam-2542677876
```
Or Python API:
```
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("teacookies/autotrain-12-20-2022_rated_speed_only_exam-2542677876", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("teacookies/autotrain-12-20-2022_rated_speed_only_exam-2542677876", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |