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--- |
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tags: autonlp |
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language: en |
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widget: |
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- text: "I love AutoNLP 🤗" |
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datasets: |
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- severo/autonlp-data-sentiment_detection-3c8bcd36 |
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--- |
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# Model Trained Using AutoNLP |
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_debug - I want to update this model_ |
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- Problem type: Binary Classification |
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- Model ID: 1781580 |
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## Validation Metrics |
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- Loss: 0.16026505827903748 |
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- Accuracy: 0.9426 |
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- Precision: 0.9305057745917961 |
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- Recall: 0.95406288280931 |
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- AUC: 0.9861051024994563 |
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- F1: 0.9421370967741935 |
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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"}' /static-proxy?url=https%3A%2F%2Fapi-inference.huggingface.co%2Fmodels%2Fsevero%2Fautonlp-sentiment_detection-1781580%3C%2Fspan%3E%3C!-- HTML_TAG_END --> |
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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("severo/autonlp-sentiment_detection-1781580", use_auth_token=True) |
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tokenizer = AutoTokenizer.from_pretrained("severo/autonlp-sentiment_detection-1781580", 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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``` |
