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autonlp-bert-covid-407910467
nurkayevaa/autonlp-bert-covid-407910467
autonlp-bert-covid-407910467 is a text classification model from nurkayevaa. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 407910467 - CO2 Emissions (in grams): 10.719439124704492
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 11, 2021
- SHA
- c1db9e60
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 407910467
- CO2 Emissions (in grams): 10.719439124704492
Validation Metrics
- Loss: 0.12029844522476196
- Accuracy: 0.9516339869281045
- Precision: 0.9477786438035853
- Recall: 0.9650793650793651
- AUC: 0.9907376734912967
- F1: 0.9563507668108534
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/nurkayevaa/autonlp-bert-covid-407910467
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("nurkayevaa/autonlp-bert-covid-407910467", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("nurkayevaa/autonlp-bert-covid-407910467", use_auth_token=True)
inputs = tokenizer("I love AutoNLP", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Dec 11, 2021