pytorch bert token-classification en dataset:lucifermorninstar011/autotrain-data-lucifer_job_title_comb transformers autotrain co2_eq_emissions autotrain_compatible
---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- lucifermorninstar011/autotrain-data-lucifer_job_title_comb
co2_eq_emissions: 66.24310525675156
---

# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 858027260
- CO2 Emissions (in grams): 66.24310525675156

## Validation Metrics

- Loss: 0.007201952859759331
- Accuracy: 0.9978341245706535
- Precision: 0.9558986154730835
- Recall: 0.9205537806176783
- F1: 0.9378933206024044

## 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/lucifermorninstar011/autotrain-lucifer_job_title_comb-858027260
```

Or Python API:

```
from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("lucifermorninstar011/autotrain-lucifer_job_title_comb-858027260", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("lucifermorninstar011/autotrain-lucifer_job_title_comb-858027260", use_auth_token=True)

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

outputs = model(**inputs)
```