Ni_04_03_the_best – AI Model by WilliamWen | AlphaNeural AI

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WilliamWen/
Ni_04_03_the_best

like

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token-classification

WilliamWen/autotrain-data-ni_abbrev_04

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoTrain

Problem type: Entity Extraction
Model ID: 46950115739
CO2 Emissions (in grams): 0.1370

Validation Metrics

Loss: 0.125
Accuracy: 0.960
Precision: 0.686
Recall: 0.699
F1: 0.692

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/WilliamWen/autotrain-ni_abbrev_04-46950115739

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("WilliamWen/autotrain-ni_abbrev_04-46950115739", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("WilliamWen/autotrain-ni_abbrev_04-46950115739", use_auth_token=True)

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

outputs = model(**inputs)