Text Classification
Transformers
PyTorch
ONNX
Safetensors
English
deberta
Trained with AutoTrain
Inference Endpoints
system HF staff commited on
Commit
f016188
1 Parent(s): d95ea85

Commit From AutoTrain

Browse files
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README.md ADDED
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+ ---
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+ tags:
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+ - autotrain
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+ - text-classification
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+ language:
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+ - en
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+ widget:
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+ - text: "I love AutoTrain"
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+ datasets:
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+ - DarwinAnim8or/autotrain-data-text-moderation-v2-small
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+ co2_eq_emissions:
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+ emissions: 0.03967468113268738
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+ ---
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+
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+ # Model Trained Using AutoTrain
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+
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+ - Problem type: Multi-class Classification
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+ - Model ID: 93240145801
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+ - CO2 Emissions (in grams): 0.0397
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.848
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+ - Accuracy: 0.749
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+ - Macro F1: 0.326
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+ - Micro F1: 0.749
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+ - Weighted F1: 0.703
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+ - Macro Precision: 0.321
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+ - Micro Precision: 0.749
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+ - Weighted Precision: 0.671
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+ - Macro Recall: 0.349
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+ - Micro Recall: 0.749
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+ - Weighted Recall: 0.749
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+
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+
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+ ## Usage
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+
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+ You can use cURL to access this model:
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+
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+ ```
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+ $ 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/DarwinAnim8or/autotrain-text-moderation-v2-small-93240145801
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+ ```
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+
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+ Or Python API:
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+
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+ ```
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+ from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+
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+ model = AutoModelForSequenceClassification.from_pretrained("DarwinAnim8or/autotrain-text-moderation-v2-small-93240145801", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("DarwinAnim8or/autotrain-text-moderation-v2-small-93240145801", use_auth_token=True)
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+
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+ inputs = tokenizer("I love AutoTrain", return_tensors="pt")
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+
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+ outputs = model(**inputs)
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+ ```
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