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autotrain-dynex-77356140532
kafikani/autotrain-dynex-77356140532
autotrain-dynex-77356140532 is a text classification model from kafikani. 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: 77356140532 - CO2 Emissions (in grams): 4.7334
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Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 77356140532
- CO2 Emissions (in grams): 4.7334
Validation Metrics
- Loss: 0.458
- Accuracy: 0.837
- Macro F1: 0.761
- Micro F1: 0.837
- Weighted F1: 0.833
- Macro Precision: 0.785
- Micro Precision: 0.837
- Weighted Precision: 0.834
- Macro Recall: 0.746
- Micro Recall: 0.837
- Weighted Recall: 0.837
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/kafikani/autotrain-dynex-77356140532
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("kafikani/autotrain-dynex-77356140532", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("kafikani/autotrain-dynex-77356140532", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- deberta
- Languages
- en
- Created
- Jul 25, 2023
- Updated
- Jul 25, 2023