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autonlp-spinner-check-16492731
imzachjohnson/autonlp-spinner-check-16492731
autonlp-spinner-check-16492731 is a text classification model from imzachjohnson. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 16492731
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Repo size
876 MB
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Oct 11, 2021
- SHA
- 3e96dbdd
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 16492731
Validation Metrics
- Loss: 0.21610039472579956
- Accuracy: 0.9155366722657816
- Precision: 0.9530714194995978
- Recall: 0.944871149164778
- AUC: 0.9553238723676906
- F1: 0.9489535692456846
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 AutoNLP"}' https://api-inference.huggingface.co/models/imzachjohnson/autonlp-spinner-check-16492731
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("imzachjohnson/autonlp-spinner-check-16492731", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("imzachjohnson/autonlp-spinner-check-16492731", use_auth_token=True)
inputs = tokenizer("I love AutoNLP", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Oct 11, 2021