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autotrain-enterprise_v_consumer-3052187265
braedennorris/autotrain-enterprise_v_consumer-3052187265
autotrain-enterprise_v_consumer-3052187265 is a text classification model from braedennorris. Use it when you need a label for a piece of text. It is set up for transformers.
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- deberta-v2
- Access
- Public
- Created
- Jan 25, 2023
- Updated
- Jan 25, 2023
- SHA
- 6a7e72dd
Try a prompt
Model card
From the Hugging Face model README
Enterprise = 1 Consumer = 0
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 3052187265
- CO2 Emissions (in grams): 1.1719
Validation Metrics
- Loss: 0.428
- Accuracy: 0.824
- Precision: 0.805
- Recall: 0.896
- AUC: 0.891
- F1: 0.848
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/braedennorris/autotrain-enterprise_v_consumer-3052187265
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("braedennorris/autotrain-enterprise_v_consumer-3052187265", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("braedennorris/autotrain-enterprise_v_consumer-3052187265", 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
- Jan 25, 2023
- Updated
- Jan 25, 2023