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Electra-bbc-news
AyoubChLin/Electra-bbc-news
Electra-bbc-news is a text classification model from AyoubChLin. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Multi-class Classification - Model ID: 48940118439 - CO2 Emissions (in grams): 1.7152
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Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 48940118439
- CO2 Emissions (in grams): 1.7152
Validation Metrics
- Loss: 0.931
- Accuracy: 0.979
- Macro F1: 0.979
- Micro F1: 0.979
- Weighted F1: 0.979
- Macro Precision: 0.979
- Micro Precision: 0.979
- Weighted Precision: 0.979
- Macro Recall: 0.979
- Micro Recall: 0.979
- Weighted Recall: 0.979
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-electra-bbc-news-48940118439
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/autotrain-electra-bbc-news-48940118439", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/autotrain-electra-bbc-news-48940118439", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- Languages
- en
- Created
- Apr 12, 2023
- Updated
- Feb 10, 2025