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autonlp-imdb-test-21134453
mmcquade11/autonlp-imdb-test-21134453
autonlp-imdb-test-21134453 is a text classification model from mmcquade11. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 21134453 - CO2 Emissions (in grams): 38.102565360610484
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Oct 18, 2021
- SHA
- 357f7eb7
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 21134453
- CO2 Emissions (in grams): 38.102565360610484
Validation Metrics
- Loss: 0.172550767660141
- Accuracy: 0.9355
- Precision: 0.9362853135644159
- Recall: 0.9346
- AUC: 0.98267064
- F1: 0.9354418977079372
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/mmcquade11/autonlp-imdb-test-21134453
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("mmcquade11/autonlp-imdb-test-21134453", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("mmcquade11/autonlp-imdb-test-21134453", 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
- Oct 18, 2021