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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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- unk |
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widget: |
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- text: "Vull sentir una canço del Pets" |
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- text: "Com puc anar a l'estació de trens?" |
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- text: "afegeix a la llista de la compra un litre de llet" |
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datasets: |
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- crodri/autotrain-data-massive-4-catalan |
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co2_eq_emissions: |
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emissions: 13.789236303098791 |
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--- |
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# Model Trained Using AutoTrain |
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- Problem type: Multi-class Classification |
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- Model ID: 2452075980 |
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- CO2 Emissions (in grams): 13.7892 |
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## Validation Metrics |
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- Loss: 0.546 |
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- Accuracy: 0.882 |
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- Macro F1: 0.855 |
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- Micro F1: 0.882 |
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- Weighted F1: 0.881 |
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- Macro Precision: 0.862 |
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- Micro Precision: 0.882 |
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- Weighted Precision: 0.886 |
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- Macro Recall: 0.858 |
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- Micro Recall: 0.882 |
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- Weighted Recall: 0.882 |
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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 AutoTrain"}' https://api-inference.huggingface.co/models/crodri/MassiveCatalanIntents |
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``` |
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Or Python API: |
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``` |
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from transformers import pipeline, AutoModelForSequenceClassification, AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("crodri/MassiveCatalanIntents", use_auth_token=True) |
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model = AutoModelForSequenceClassification.from_pretrained("crodri/MassiveCatalanIntents", use_auth_token=True) |
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pipe = pipeline("text-classification",model=model,tokenizer=tokenizer) |
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result = pipe("afegeix a la llista de la compra un litre de llet") |
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``` |
