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autotrain-climate-text-classification-1437253674
prathap-reddy/autotrain-climate-text-classification-1437253674
autotrain-climate-text-classification-1437253674 is a text classification model from prathap-reddy. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 1437253674 - CO2 Emissions (in grams): 2.6213
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Repo size
2.7 GB
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At a glance
- Task
- Text Classification
- Library
- transformers
- Access
- Public
- Created
- Sep 12, 2022
- Updated
- Sep 12, 2022
- SHA
- fe0a764c
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1437253674
- CO2 Emissions (in grams): 2.6213
Validation Metrics
- Loss: 0.300
- Accuracy: 0.884
- Precision: 0.844
- Recall: 0.596
- AUC: 0.885
- F1: 0.699
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/prathap-reddy/autotrain-climate-text-classification-1437253674
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("prathap-reddy/autotrain-climate-text-classification-1437253674", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("prathap-reddy/autotrain-climate-text-classification-1437253674", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Languages
- en
- Created
- Sep 12, 2022
- Updated
- Sep 12, 2022