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autotrain-crender2.0-39012102367
matejmicek/autotrain-crender2.0-39012102367
autotrain-crender2.0-39012102367 is a text classification model from matejmicek. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 39012102367 - CO2 Emissions (in grams): 0.3684
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- deberta
- Access
- Public
- Created
- Mar 5, 2023
- Updated
- Mar 5, 2023
- SHA
- b196e526
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 39012102367
- CO2 Emissions (in grams): 0.3684
Validation Metrics
- Loss: 0.362
- Accuracy: 0.858
- Precision: 0.844
- Recall: 0.991
- AUC: 0.876
- F1: 0.911
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/matejmicek/autotrain-crender2.0-39012102367
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("matejmicek/autotrain-crender2.0-39012102367", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("matejmicek/autotrain-crender2.0-39012102367", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- deberta
- Languages
- en
- Created
- Mar 5, 2023
- Updated
- Mar 5, 2023