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roberta-large-bbc_news
AyoubChLin/roberta-large-bbc_news
roberta-large-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: 48943118458 - CO2 Emissions (in grams): 1.9844
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Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 48943118458
- CO2 Emissions (in grams): 1.9844
Validation Metrics
- Loss: 0.062
- Accuracy: 0.991
- Macro F1: 0.991
- Micro F1: 0.991
- Weighted F1: 0.991
- Macro Precision: 0.991
- Micro Precision: 0.991
- Weighted Precision: 0.991
- Macro Recall: 0.992
- Micro Recall: 0.991
- Weighted Recall: 0.991
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-roberta-large-bbc_news-48943118458
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/autotrain-roberta-large-bbc_news-48943118458", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/autotrain-roberta-large-bbc_news-48943118458", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Languages
- unk
- Created
- Apr 12, 2023
- Updated
- Aug 8, 2023