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autotrain-article_pred-1142742075
Johny201/autotrain-article_pred-1142742075
autotrain-article_pred-1142742075 is a text classification model from Johny201. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 1142742075 - CO2 Emissions (in grams): 3.973071565343572
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Jul 17, 2022
- Updated
- Jul 17, 2022
- SHA
- b47ca1e9
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1142742075
- CO2 Emissions (in grams): 3.973071565343572
Validation Metrics
- Loss: 0.6098461151123047
- Accuracy: 0.7227722772277227
- Precision: 0.6805555555555556
- Recall: 0.9074074074074074
- AUC: 0.7480299448384554
- F1: 0.7777777777777779
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/Johny201/autotrain-article_pred-1142742075
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("Johny201/autotrain-article_pred-1142742075", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("Johny201/autotrain-article_pred-1142742075", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Languages
- en
- Created
- Jul 17, 2022
- Updated
- Jul 17, 2022