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--- |
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tags: autonlp |
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language: unk |
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widget: |
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- text: "I love AutoNLP 🤗" |
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datasets: |
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- sam890914/autonlp-data-roberta-large2 |
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co2_eq_emissions: 71.60954851696604 |
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--- |
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# Model Trained Using AutoNLP |
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- Problem type: Binary Classification |
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- Model ID: 479012819 |
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- CO2 Emissions (in grams): 71.60954851696604 |
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## Validation Metrics |
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- Loss: 0.22774338722229004 |
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- Accuracy: 0.9395126938149599 |
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- Precision: 0.9677075940383251 |
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- Recall: 0.9117352056168505 |
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- AUC: 0.9862377263827619 |
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- F1: 0.9388879325185058 |
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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/sam890914/autonlp-roberta-large2-479012819 |
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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("sam890914/autonlp-roberta-large2-479012819", use_auth_token=True) |
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tokenizer = AutoTokenizer.from_pretrained("sam890914/autonlp-roberta-large2-479012819", 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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``` |
