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autotrain-tais-53334125653
Manasviii19/autotrain-tais-53334125653
autotrain-tais-53334125653 is a text classification model from Manasviii19. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 53334125653 - CO2 Emissions (in grams): 0.4866
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Repo size
1.5 GB
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Repo makeup
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.bin738 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- deberta-v2
- Access
- Public
- Created
- Apr 27, 2023
- Updated
- Apr 27, 2023
- SHA
- f3e7b223
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 53334125653
- CO2 Emissions (in grams): 0.4866
Validation Metrics
- Loss: 0.151
- Accuracy: 0.953
- Precision: 0.974
- Recall: 0.930
- AUC: 0.987
- F1: 0.951
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/Manasviii19/autotrain-tais-53334125653
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("Manasviii19/autotrain-tais-53334125653", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("Manasviii19/autotrain-tais-53334125653", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- Languages
- en
- Created
- Apr 27, 2023
- Updated
- Apr 27, 2023