---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- ismail-lucifer011/autotrain-data-company_all
co2_eq_emissions: 0.848790823793881
---

# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 903429548
- CO2 Emissions (in grams): 0.848790823793881

## Validation Metrics

- Loss: 0.006148040760308504
- Accuracy: 0.9979930566588805
- Precision: 0.9814944904963571
- Recall: 0.9817210885036588
- F1: 0.9816077764228254

## 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/ismail-lucifer011/autotrain-company_all-903429548
```

Or Python API:

```
from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("ismail-lucifer011/autotrain-company_all-903429548", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ismail-lucifer011/autotrain-company_all-903429548", use_auth_token=True)

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

outputs = model(**inputs)
```