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--- |
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tags: autotrain |
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language: en |
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widget: |
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- text: "I love AutoTrain 🤗" |
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datasets: |
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- crcb/autotrain-data-imp_hs |
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co2_eq_emissions: 0.05286505617263864 |
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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: 753423076 |
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- CO2 Emissions (in grams): 0.05286505617263864 |
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## Validation Metrics |
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- Loss: 0.539419412612915 |
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- Accuracy: 0.7616387337057728 |
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- Macro F1: 0.6428050387135232 |
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- Micro F1: 0.761638733705773 |
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- Weighted F1: 0.7592341595725172 |
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- Macro Precision: 0.6606534010647378 |
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- Micro Precision: 0.7616387337057728 |
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- Weighted Precision: 0.7575825822976101 |
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- Macro Recall: 0.6293404928847536 |
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- Micro Recall: 0.7616387337057728 |
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- Weighted Recall: 0.7616387337057728 |
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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/crcb/autotrain-imp_hs-753423076 |
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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("crcb/autotrain-imp_hs-753423076", use_auth_token=True) |
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tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-imp_hs-753423076", 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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``` |
