YAML Metadata
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Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 1169643336
- CO2 Emissions (in grams): 0.004032656988228696
Validation Metrics
- Loss: 0.677674412727356
- Accuracy: 0.8129095674967235
- Precision: 0.4424778761061947
- Recall: 0.4844961240310077
- F1: 0.4625346901017577
Usage
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "Why is the username the largest part of each card?"}' https://api-inference.huggingface.co/models/Shenzy2/NER4DesignTutor
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("Shenzy2/NER4DesignTutor")
tokenizer = AutoTokenizer.from_pretrained("Shenzy2/NER4DesignTutor")
inputs = tokenizer("Why is the username the largest part of each card?", return_tensors="pt")
outputs = model(**inputs)
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