| --- |
| tags: autotrain |
| language: en |
| widget: |
| - text: "I love AutoTrain 🤗" |
| datasets: |
| - BraveOni/autotrain-data-2ch-text-classification |
| co2_eq_emissions: 0.08564281067919652 |
| --- |
| |
| # Model Trained Using AutoTrain |
|
|
| - Problem type: Binary Classification |
| - Model ID: 955631800 |
| - CO2 Emissions (in grams): 0.08564281067919652 |
|
|
| ## Validation Metrics |
|
|
| - Loss: 0.34108611941337585 |
| - Accuracy: 0.8671983356449375 |
| - Precision: 0.7883283877349159 |
| - Recall: 0.8250517598343685 |
| - AUC: 0.9236450689447471 |
| - F1: 0.8062721294891249 |
|
|
| ## 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/BraveOni/autotrain-2ch-text-classification-955631800 |
| ``` |
|
|
| Or Python API: |
|
|
| ``` |
| from transformers import AutoModelForSequenceClassification, AutoTokenizer |
| |
| model = AutoModelForSequenceClassification.from_pretrained("BraveOni/autotrain-2ch-text-classification-955631800", use_auth_token=True) |
| |
| tokenizer = AutoTokenizer.from_pretrained("BraveOni/autotrain-2ch-text-classification-955631800", use_auth_token=True) |
| |
| inputs = tokenizer("I love AutoTrain", return_tensors="pt") |
| |
| outputs = model(**inputs) |
| ``` |
