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Commit From AutoNLP

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README.md ADDED
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+ ---
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+ tags: autonlp
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+ language: en
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+ widget:
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+ - text: "I love AutoNLP 🤗"
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+ datasets:
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+ - philschmid/autonlp-data-banking77_vs_comprehend
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+ ---
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+
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+ # Model Trained Using AutoNLP
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+
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+ - Problem type: Multi-class Classification
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+ - Model ID: 3102252
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.2988220155239105
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+ - Accuracy: 0.9246753246753247
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+ - Macro F1: 0.9246117406953515
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+ - Micro F1: 0.9246753246753247
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+ - Weighted F1: 0.9246117406953518
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+ - Macro Precision: 0.9278163684429038
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+ - Micro Precision: 0.9246753246753247
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+ - Weighted Precision: 0.927816368442904
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+ - Macro Recall: 0.9246753246753248
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+ - Micro Recall: 0.9246753246753247
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+ - Weighted Recall: 0.9246753246753247
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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 AutoNLP"}' https://api-inference.huggingface.co/models/philschmid/autonlp-banking77_vs_comprehend-3102252
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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("philschmid/autonlp-banking77_vs_comprehend-3102252", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("philschmid/autonlp-banking77_vs_comprehend-3102252", use_auth_token=True)
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+
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+ inputs = tokenizer("I love AutoNLP", return_tensors="pt")
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+
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+ outputs = model(**inputs)
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+ ```
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