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freddiezhang/honor
honor is a text classification model from freddiezhang. Use it when you need a label for a piece of text. It is set up for transformers.
HonOR, standing for "Hyper-parameter tuned computer-generated text objectification utilizing BERTForSeqenceClassification" is a binary text classification model built with BertForSequenceClassification. This model was…
Downloads · 30 days
13
21% of all-time downloads
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From the Hugging Face model README
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.
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)