YAML Metadata
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Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 902129475
- CO2 Emissions (in grams): 111.96508441754436
Validation Metrics
- Loss: 0.008610366843640804
- Accuracy: 0.9970010185146537
- Precision: 0.9815740365517482
- Recall: 0.9825620993589743
- F1: 0.9820678194318264
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-company_vs_all-902129475
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("ismail-lucifer011/autotrain-company_vs_all-902129475", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("ismail-lucifer011/autotrain-company_vs_all-902129475", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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