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koelectra-small-v3-generator-apeach
jason9693/koelectra-small-v3-generator-apeach
koelectra-small-v3-generator-apeach is a text classification model from jason9693. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 742522663 - CO2 Emissions (in grams): 0.01856239042036965
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Repo size
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Apr 14, 2022
- Updated
- Apr 16, 2022
- SHA
- 483da65d
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 742522663
- CO2 Emissions (in grams): 0.01856239042036965
Validation Metrics
- Loss: 0.4798508286476135
- Accuracy: 0.7740053050397878
- Precision: 0.7236622073578596
- Recall: 0.9006243496357961
- AUC: 0.8798210006261515
- F1: 0.8025034770514604
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/jason9693/autotrain-kor_hate_eval-742522663
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("jason9693/autotrain-kor_hate_eval-742522663", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("jason9693/autotrain-kor_hate_eval-742522663", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- Languages
- ko
- Created
- Apr 14, 2022
- Updated
- Apr 16, 2022