abhishek HF staff commited on
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Commit From AutoNLP

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.gitattributes CHANGED
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  *.zip filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ tags: autonlp
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+ language: zh
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+ widget:
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+ - text: "I love AutoNLP 🤗"
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+ datasets:
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+ - kyleinincubated/autonlp-data-cat333
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+ co2_eq_emissions: 2.267288583123193
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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: 624217911
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+ - CO2 Emissions (in grams): 2.267288583123193
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.39670249819755554
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+ - Accuracy: 0.9098901098901099
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+ - Macro F1: 0.7398394202169645
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+ - Micro F1: 0.9098901098901099
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+ - Weighted F1: 0.9073329464119164
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+ - Macro Precision: 0.7653753530396269
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+ - Micro Precision: 0.9098901098901099
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+ - Weighted Precision: 0.9096917983040914
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+ - Macro Recall: 0.7382843728794468
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+ - Micro Recall: 0.9098901098901099
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+ - Weighted Recall: 0.9098901098901099
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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/kyleinincubated/autonlp-cat333-624217911
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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("kyleinincubated/autonlp-cat333-624217911", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("kyleinincubated/autonlp-cat333-624217911", 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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tokenizer.json ADDED
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