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autotrain-j-multi-classification-1181044057
azizkh/autotrain-j-multi-classification-1181044057
autotrain-j-multi-classification-1181044057 is a text classification model from azizkh. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Multi-class Classification - Model ID: 1181044057 - CO2 Emissions (in grams): 1.2309703499286417
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 26, 2022
- Updated
- Jul 26, 2022
- SHA
- e2314f06
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1181044057
- CO2 Emissions (in grams): 1.2309703499286417
Validation Metrics
- Loss: 0.896309494972229
- Accuracy: 0.7192982456140351
- Macro F1: 0.5870079610791685
- Micro F1: 0.7192982456140351
- Weighted F1: 0.719743631524632
- Macro Precision: 0.6779761904761905
- Micro Precision: 0.7192982456140351
- Weighted Precision: 0.8012949039264828
- Macro Recall: 0.5941468253968254
- Micro Recall: 0.7192982456140351
- Weighted Recall: 0.7192982456140351
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 AutoTrain"}' https://api-inference.huggingface.co/models/azizkh/autotrain-j-multi-classification-1181044057
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("azizkh/autotrain-j-multi-classification-1181044057", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("azizkh/autotrain-j-multi-classification-1181044057", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- ar
- Created
- Jul 26, 2022
- Updated
- Jul 26, 2022