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--- |
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tags: autonlp |
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language: de |
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widget: |
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- text: "I love AutoNLP 🤗" |
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datasets: |
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- muhtasham/autonlp-data-Doctor_DE |
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co2_eq_emissions: 183.88911013564527 |
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--- |
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# Model Trained Using AutoNLP |
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- Problem type: Single Column Regression |
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- Model ID: 24595548 |
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- CO2 Emissions (in grams): 183.88911013564527 |
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## Validation Metrics |
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- Loss: 0.3050823509693146 |
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- MSE: 0.3050823509693146 |
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- MAE: 0.2664000689983368 |
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- R2: 0.844059188176304 |
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- RMSE: 0.5523425936698914 |
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- Explained Variance: 0.8472161293029785 |
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## Usage |
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You can use cURL to access this model: |
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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/muhtasham/autonlp-Doctor_DE-24595548 |
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``` |
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Or Python API: |
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``` |
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from transformers import AutoModelForSequenceClassification, AutoTokenizer |
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model = AutoModelForSequenceClassification.from_pretrained("muhtasham/autonlp-Doctor_DE-24595548", use_auth_token=True) |
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tokenizer = AutoTokenizer.from_pretrained("muhtasham/autonlp-Doctor_DE-24595548", use_auth_token=True) |
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inputs = tokenizer("I love AutoNLP", return_tensors="pt") |
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outputs = model(**inputs) |
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``` |
