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creepy-wapo
wendys-llc/creepy-wapo
creepy-wapo is a text classification model from wendys-llc. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 38907102177 - CO2 Emissions (in grams): 0.0029
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Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 38907102177
- CO2 Emissions (in grams): 0.0029
Validation Metrics
- Loss: 0.101
- Accuracy: 0.985
- Precision: 1.000
- Recall: 0.750
- AUC: 0.988
- F1: 0.857
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/wendys-llc/autotrain-creepy-wapo-38907102177
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("wendys-llc/autotrain-creepy-wapo-38907102177", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("wendys-llc/autotrain-creepy-wapo-38907102177", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- Languages
- en
- Created
- Mar 4, 2023
- Updated
- Sep 26, 2023