pytorch distilbert token-classification en dataset:ismail-lucifer011/autotrain-data-name_vsv_all transformers autotrain co2_eq_emissions autotrain_compatible
---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- ismail-lucifer011/autotrain-data-name_vsv_all
co2_eq_emissions: 110.53225910657005
---

# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 901529445
- CO2 Emissions (in grams): 110.53225910657005

## Validation Metrics

- Loss: 0.029285535216331482
- Accuracy: 0.9897211856745716
- Precision: 0.9500373934287282
- Recall: 0.9542718349358974
- F1: 0.9521499063085572

## 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-name_vsv_all-901529445
```

Or Python API:

```
from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("ismail-lucifer011/autotrain-name_vsv_all-901529445", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ismail-lucifer011/autotrain-name_vsv_all-901529445", use_auth_token=True)

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

outputs = model(**inputs)
```