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--- |
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tags: autonlp |
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language: pt |
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widget: |
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- text: "I love AutoNLP 🤗" |
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datasets: |
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- Emanuel/autonlp-data-pos-tag-bosque |
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co2_eq_emissions: 6.2107269129101805 |
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--- |
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# Model Trained Using AutoNLP |
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- Problem type: Entity Extraction |
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- Model ID: 21124427 |
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- CO2 Emissions (in grams): 6.2107269129101805 |
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## Validation Metrics |
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- Loss: 0.09813392907381058 |
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- Accuracy: 0.9714309035997062 |
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- Precision: 0.9721275936822545 |
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- Recall: 0.9735345807918949 |
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- F1: 0.9728305785123967 |
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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/Emanuel/autonlp-pos-tag-bosque-21124427 |
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``` |
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Or Python API: |
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``` |
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from transformers import AutoModelForTokenClassification, AutoTokenizer |
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model = AutoModelForTokenClassification.from_pretrained("Emanuel/autonlp-pos-tag-bosque") |
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tokenizer = AutoTokenizer.from_pretrained("Emanuel/autonlp-pos-tag-bosque") |
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inputs = tokenizer("A noiva casa de branco", return_tensors="pt") |
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outputs = model(**inputs) |
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labelids = outputs.logits.squeeze().argmax(axis=-1) |
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labels = [model.config.id2label[int(x)] for x in labelids] |
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labels = labels[1:-1]# Filter start and end of sentence symbols |
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``` |
