YAML Metadata
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Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 901529445
- CO2 Emissions (in grams): 110.53225910657005
Validation Metrics
- Loss: 0.029285535216331482
- Accuracy: 0.9897211856745716
- Precision: 0.9500373934287282
- Recall: 0.9542718349358974
- F1: 0.9521499063085572
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": "I love AutoTrain"}' https://api-inference.huggingface.co/models/ismail-lucifer011/autotrain-name_vsv_all-901529445
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("ismail-lucifer011/autotrain-name_vsv_all-901529445", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("ismail-lucifer011/autotrain-name_vsv_all-901529445", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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