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autotrain-deephate2-1093539673
dee4hf/autotrain-deephate2-1093539673
autotrain-deephate2-1093539673 is a text classification model from dee4hf. 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: 1093539673 - CO2 Emissions (in grams): 7.663051290039914
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Repo size
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- Jul 6, 2022
- Updated
- Jul 6, 2022
- SHA
- 5f48e340
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1093539673
- CO2 Emissions (in grams): 7.663051290039914
Validation Metrics
- Loss: 0.34404119849205017
- Accuracy: 0.8843120070113936
- Macro F1: 0.8771237753798016
- Micro F1: 0.8843120070113936
- Weighted F1: 0.8843498914288083
- Macro Precision: 0.8745249813256932
- Micro Precision: 0.8843120070113936
- Weighted Precision: 0.8854719661321065
- Macro Recall: 0.8812563739901838
- Micro Recall: 0.8843120070113936
- Weighted Recall: 0.8843120070113936
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/dee4hf/autotrain-deephate2-1093539673
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("dee4hf/autotrain-deephate2-1093539673", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("dee4hf/autotrain-deephate2-1093539673", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- Languages
- bn
- Created
- Jul 6, 2022
- Updated
- Jul 6, 2022