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--- |
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tags: autotrain |
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language: unk |
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widget: |
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- text: "I love AutoTrain 🤗" |
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datasets: |
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- Yarn/autotrain-data-Traimn |
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co2_eq_emissions: 1.712176860015081 |
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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: 853827191 |
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- CO2 Emissions (in grams): 1.712176860015081 |
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## Validation Metrics |
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- Loss: 0.10257730633020401 |
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- Accuracy: 0.973421926910299 |
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- Macro F1: 0.9735224586288418 |
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- Micro F1: 0.973421926910299 |
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- Weighted F1: 0.9735187934099364 |
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- Macro Precision: 0.9738505933839127 |
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- Micro Precision: 0.973421926910299 |
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- Weighted Precision: 0.9738995774527256 |
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- Macro Recall: 0.9734994306470444 |
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- Micro Recall: 0.973421926910299 |
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- Weighted Recall: 0.973421926910299 |
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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/Yarn/autotrain-Traimn-853827191 |
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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("Yarn/autotrain-Traimn-853827191", use_auth_token=True) |
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tokenizer = AutoTokenizer.from_pretrained("Yarn/autotrain-Traimn-853827191", use_auth_token=True) |
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inputs = tokenizer("I love AutoTrain", return_tensors="pt") |
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outputs = model(**inputs) |
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``` |
