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autonlp-poi_train-31237266
wangsheng/autonlp-poi_train-31237266
autonlp-poi_train-31237266 is a text classification model from wangsheng. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 31237266 - CO2 Emissions (in grams): 390.39411176775826
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Repo size
2.6 GB
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Repo makeup
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Nov 10, 2021
- SHA
- b32f7c00
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 31237266
- CO2 Emissions (in grams): 390.39411176775826
Validation Metrics
- Loss: 0.1643059253692627
- Accuracy: 0.9379398019660155
- Precision: 0.7467491278147795
- Recall: 0.7158710854363028
- AUC: 0.9631629384458238
- F1: 0.7309841664079478
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/wangsheng/autonlp-poi_train-31237266
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("wangsheng/autonlp-poi_train-31237266", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("wangsheng/autonlp-poi_train-31237266", use_auth_token=True)
inputs = tokenizer("I love AutoNLP", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- unk
- Created
- Mar 2, 2022
- Updated
- Nov 10, 2021