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autotrain-test-text-classification-3175589570
Sushovan/autotrain-test-text-classification-3175589570
autotrain-test-text-classification-3175589570 is a text classification model from Sushovan. 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: 3175589570 - CO2 Emissions (in grams): 3.2260
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Repo size
867 MB
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 31, 2023
- Updated
- Jan 31, 2023
- SHA
- 8e826374
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 3175589570
- CO2 Emissions (in grams): 3.2260
Validation Metrics
- Loss: 1.111
- Accuracy: 0.665
- Macro F1: 0.424
- Micro F1: 0.665
- Weighted F1: 0.638
- Macro Precision: 0.427
- Micro Precision: 0.665
- Weighted Precision: 0.622
- Macro Recall: 0.434
- Micro Recall: 0.665
- Weighted Recall: 0.665
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/Sushovan/autotrain-test-text-classification-3175589570
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("Sushovan/autotrain-test-text-classification-3175589570", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("Sushovan/autotrain-test-text-classification-3175589570", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- unk
- Created
- Jan 31, 2023
- Updated
- Jan 31, 2023