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is-legit-kwd-march-27
world-wide/is-legit-kwd-march-27
is-legit-kwd-march-27 is a text classification model from world-wide. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 668419758 - CO2 Emissions (in grams): 0.5745216001459987
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Repo size
536 MB
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Repo makeup
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Mar 26, 2022
- Updated
- Mar 26, 2022
- SHA
- a48b7485
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 668419758
- CO2 Emissions (in grams): 0.5745216001459987
Validation Metrics
- Loss: 0.5012844800949097
- Accuracy: 0.8057228915662651
- Precision: 0.7627627627627628
- Recall: 0.8355263157894737
- AUC: 0.868530701754386
- F1: 0.7974882260596545
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/bozelosp/autotrain-legit-keyword-668419758
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("bozelosp/autotrain-legit-keyword-668419758", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("bozelosp/autotrain-legit-keyword-668419758", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- en
- Created
- Mar 26, 2022
- Updated
- Mar 26, 2022