HonOR, standing for "Hyper-parameter tuned computer-generated text objectification utilizing BERTForSeqenceClassification" is a binary text classification model built with BertForSequenceClassification. This model was built to explore possibilities for zero-shot classification of texts in a wide range of domains.
For more information, please see the model card.
Model information
- Problem type: Binary Classification
- Model ID: 2514377451
- CO2 Emissions (in grams): 14.4613
Validation metrics
- Loss: 0.055
- Accuracy: 0.989
- Precision: 0.995
- Recall: 0.983
- AUC: 0.998
- F1: 0.989
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/freddiezhang/autotrain-honor-2514377451
Or a Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("freddiezhang/autotrain-honor-2514377451", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("freddiezhang/autotrain-honor-2514377451", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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