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autotrain-ps-pilot-45085113211
kentao/autotrain-ps-pilot-45085113211
autotrain-ps-pilot-45085113211 is a text classification model from kentao. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 45085113211 - CO2 Emissions (in grams): 0.0027
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Repo size
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- deberta-v2
- Access
- Public
- Created
- Mar 30, 2023
- Updated
- Mar 30, 2023
- SHA
- 56f1ef18
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 45085113211
- CO2 Emissions (in grams): 0.0027
Validation Metrics
- Loss: 0.486
- Accuracy: 0.829
- Precision: 0.850
- Recall: 0.810
- AUC: 0.861
- F1: 0.829
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/kentao/autotrain-ps-pilot-45085113211
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("kentao/autotrain-ps-pilot-45085113211", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("kentao/autotrain-ps-pilot-45085113211", 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 30, 2023
- Updated
- Mar 30, 2023