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tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- badalsahani/autotrain-data-text-classification
co2_eq_emissions:
emissions: 7.761992510873142
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 3486594647
- CO2 Emissions (in grams): 7.7620
## Validation Metrics
- Loss: 0.008
- Accuracy: 1.000
- Macro F1: 1.000
- Micro F1: 1.000
- Weighted F1: 1.000
- Macro Precision: 1.000
- Micro Precision: 1.000
- Weighted Precision: 1.000
- Macro Recall: 1.000
- Micro Recall: 1.000
- Weighted Recall: 1.000
## Usage
You can use cURL to access this model:
```curl
$ 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/badalsahani/text-classification-multi
```
Or Python API:
```python
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("badalsahani/text-classification-multi", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("badalsahani/text-classification-multi", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |