abhishek
/

autonlp-prodigy-10-3362554

Token Classification

Trained with AutoTrain

Carbon Emissions

Inference Endpoints

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Model Trained Using AutoNLP

Problem type: Entity Extraction
Model ID: 3362554
CO2 Emissions (in grams): 5.340540212393564

Validation Metrics

Loss: 0.14167872071266174
Accuracy: 0.9587076867229332
Precision: 0.7351351351351352
Recall: 0.7923728813559322
F1: 0.7626816212082591

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 AutoNLP"}' https://api-inference.huggingface.co/models/abhishek/autonlp-prodigy-10-3362554

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("abhishek/autonlp-prodigy-10-3362554", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("abhishek/autonlp-prodigy-10-3362554", use_auth_token=True)

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

outputs = model(**inputs)

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Token Classification

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Dataset used to train abhishek/autonlp-prodigy-10-3362554