| | --- |
| | tags: |
| | - autotrain |
| | - text-classification |
| | language: |
| | - unk |
| | widget: |
| | - text: I love AutoTrain 🤗 |
| | datasets: |
| | - AyoubChLin/autotrain-data-distilroberta-bbc_news |
| | - SetFit/bbc-news |
| | license: apache-2.0 |
| | metrics: |
| | - accuracy |
| | pipeline_tag: text-classification |
| | --- |
| | |
| | # Model Trained Using AutoTrain |
| |
|
| | - Problem type: Multi-class Classification |
| | - Model ID: 48937118428 |
| | - CO2 Emissions (in grams): 0.6873 |
| |
|
| | ## Validation Metrics |
| |
|
| | - Loss: 0.063 |
| | - Accuracy: 0.985 |
| | - Macro F1: 0.984 |
| | - Micro F1: 0.985 |
| | - Weighted F1: 0.985 |
| | - Macro Precision: 0.984 |
| | - Micro Precision: 0.985 |
| | - Weighted Precision: 0.985 |
| | - Macro Recall: 0.985 |
| | - Micro Recall: 0.985 |
| | - Weighted Recall: 0.985 |
| |
|
| |
|
| | ## 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/AyoubChLin/autotrain-distilroberta-bbc_news-48937118428 |
| | ``` |
| |
|
| | Or Python API: |
| |
|
| | ``` |
| | from transformers import AutoModelForSequenceClassification, AutoTokenizer |
| | |
| | model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/autotrain-distilroberta-bbc_news-48937118428", use_auth_token=True) |
| | |
| | tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/autotrain-distilroberta-bbc_news-48937118428", use_auth_token=True) |
| | |
| | inputs = tokenizer("I love AutoTrain", return_tensors="pt") |
| | |
| | outputs = model(**inputs) |
| | ``` |
