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---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- ismail-lucifer011/autotrain-data-name_all
co2_eq_emissions: 0.527083766435658
---
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 904029569
- CO2 Emissions (in grams): 0.527083766435658
## Validation Metrics
- Loss: 0.0036354903131723404
- Accuracy: 0.9989951257999512
- Precision: 0.9888963290924173
- Recall: 0.9934437092741895
- F1: 0.9911648034619546
## 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_all-904029569
```
Or Python API:
```
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("ismail-lucifer011/autotrain-name_all-904029569", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("ismail-lucifer011/autotrain-name_all-904029569", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |