sxandie
/

autotrain-syn-46822115629

Token Classification

Trained with AutoTrain

Carbon Emissions

Inference Endpoints

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Model Trained Using AutoTrain

Problem type: Entity Extraction
Model ID: 46822115629
CO2 Emissions (in grams): 0.0041

Validation Metrics

Loss: 0.147
Accuracy: 0.967
Precision: 0.586
Recall: 0.603
F1: 0.594

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/sxandie/autotrain-syn-46822115629

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("sxandie/autotrain-syn-46822115629", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("sxandie/autotrain-syn-46822115629", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)

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Token Classification

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Dataset used to train sxandie/autotrain-syn-46822115629