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autotrain-pan-977432399
tayyaba/autotrain-pan-977432399
autotrain-pan-977432399 is a text classification model from tayyaba. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 977432399 - CO2 Emissions (in grams): 27.081173251466467
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Repo size
997 MB
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Jun 13, 2022
- Updated
- Jun 13, 2022
- SHA
- 824cbbbd
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 977432399
- CO2 Emissions (in grams): 27.081173251466467
Validation Metrics
- Loss: 0.277687668800354
- Accuracy: 0.8841666666666667
- Precision: 0.9185918591859186
- Recall: 0.9277777777777778
- AUC: 0.9422805555555556
- F1: 0.9231619679380874
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/tayyaba/autotrain-pan-977432399
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("tayyaba/autotrain-pan-977432399", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("tayyaba/autotrain-pan-977432399", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Languages
- en
- Created
- Jun 13, 2022
- Updated
- Jun 13, 2022