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autonlp-cml-412010597
anel/autonlp-cml-412010597
autonlp-cml-412010597 is a text classification model from anel. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 412010597 - CO2 Emissions (in grams): 10.411685187181709
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 13, 2021
- SHA
- ff4d7207
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Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 412010597
- CO2 Emissions (in grams): 10.411685187181709
Validation Metrics
- Loss: 0.12585781514644623
- Accuracy: 0.9475446428571429
- Precision: 0.9454660748256183
- Recall: 0.964424320827943
- AUC: 0.990229573862156
- F1: 0.9548511047070125
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/anel/autonlp-cml-412010597
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("anel/autonlp-cml-412010597", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("anel/autonlp-cml-412010597", 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 13, 2021