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autotrain-Rule-793324440
EAST/autotrain-Rule-793324440
autotrain-Rule-793324440 is a text classification model from EAST. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 793324440 - CO2 Emissions (in grams): 0.0025078722090032795
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Repo size
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Apr 27, 2022
- Updated
- Apr 27, 2022
- SHA
- f42cd2ad
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Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 793324440
- CO2 Emissions (in grams): 0.0025078722090032795
Validation Metrics
- Loss: 0.31105440855026245
- Accuracy: 0.9473684210526315
- Precision: 0.9
- Recall: 1.0
- AUC: 0.9444444444444445
- F1: 0.9473684210526316
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/EAST/autotrain-Rule-793324440
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("EAST/autotrain-Rule-793324440", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("EAST/autotrain-Rule-793324440", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- zh
- Created
- Apr 27, 2022
- Updated
- Apr 27, 2022