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---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain"
datasets:
- DarwinAnim8or/autotrain-data-text-moderation-v2-small
co2_eq_emissions:
emissions: 0.03967468113268738
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 93240145801
- CO2 Emissions (in grams): 0.0397
## Validation Metrics
- Loss: 0.848
- Accuracy: 0.749
- Macro F1: 0.326
- Micro F1: 0.749
- Weighted F1: 0.703
- Macro Precision: 0.321
- Micro Precision: 0.749
- Weighted Precision: 0.671
- Macro Recall: 0.349
- Micro Recall: 0.749
- Weighted Recall: 0.749
## 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/DarwinAnim8or/autotrain-text-moderation-v2-small-93240145801
```
Or Python API:
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("DarwinAnim8or/autotrain-text-moderation-v2-small-93240145801", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("DarwinAnim8or/autotrain-text-moderation-v2-small-93240145801", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |