| | --- |
| | tags: |
| | - autotrain |
| | - text-classification |
| | language: |
| | - unk |
| | widget: |
| | - text: "I love AutoTrain 🤗" |
| | - inference : true |
| | datasets: |
| | - sabhashanki/autotrain-data-micro-dataset-text-classification |
| | co2_eq_emissions: |
| | emissions: 2.843258817349137 |
| | --- |
| | |
| | # Model Trained Using AutoTrain |
| |
|
| | - Problem type: Multi-class Classification |
| | - Model ID: 2499077017 |
| | - CO2 Emissions (in grams): 2.8433 |
| |
|
| | ## Validation Metrics |
| |
|
| | - Loss: 0.366 |
| | - Accuracy: 0.901 |
| | - Macro F1: 0.897 |
| | - Micro F1: 0.901 |
| | - Weighted F1: 0.901 |
| | - Macro Precision: 0.914 |
| | - Micro Precision: 0.901 |
| | - Weighted Precision: 0.907 |
| | - Macro Recall: 0.888 |
| | - Micro Recall: 0.901 |
| | - Weighted Recall: 0.901 |
| |
|
| |
|
| | ## 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/sabhashanki/autotrain-micro-dataset-text-classification-2499077017 |
| | ``` |
| |
|
| | Or Python API: |
| |
|
| | ``` |
| | from transformers import AutoModelForSequenceClassification, AutoTokenizer |
| | |
| | model = AutoModelForSequenceClassification.from_pretrained("sabhashanki/autotrain-micro-dataset-text-classification-2499077017", use_auth_token=True) |
| | |
| | tokenizer = AutoTokenizer.from_pretrained("sabhashanki/autotrain-micro-dataset-text-classification-2499077017", use_auth_token=True) |
| | |
| | inputs = tokenizer("I love AutoTrain", return_tensors="pt") |
| | |
| | outputs = model(**inputs) |
| | ``` |
