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--- |
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tags: |
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- autonlp |
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language: it |
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widget: |
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- text: "I love AutoNLP 🤗" |
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datasets: |
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- mgrella/autonlp-data-bank-transaction-classification |
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--- |
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# Model Trained Using AutoNLP |
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- Problem type: Multi-class Classification |
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- Model ID: 5521155 |
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## Validation Metrics |
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- Loss: 1.3173143863677979 |
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- Accuracy: 0.8220706757594545 |
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- Macro F1: 0.5713688384455807 |
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- Micro F1: 0.8220706757594544 |
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- Weighted F1: 0.8217158913702755 |
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- Macro Precision: 0.6064387992817253 |
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- Micro Precision: 0.8220706757594545 |
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- Weighted Precision: 0.8491515834140735 |
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- Macro Recall: 0.5873349311175117 |
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- Micro Recall: 0.8220706757594545 |
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- Weighted Recall: 0.8220706757594545 |
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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/mgrella/autonlp-bank-transaction-classification-5521155 |
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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("mgrella/autonlp-bank-transaction-classification-5521155", use_auth_token=True) |
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tokenizer = AutoTokenizer.from_pretrained("mgrella/autonlp-bank-transaction-classification-5521155", 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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``` |
