autonlp-bp-29016523 – AI Model by JushBJJ | AlphaNeural AI

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JushBJJ/
autonlp-bp-29016523

like

0

text-classification

Jush/autonlp-data-bp

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 29016523
CO2 Emissions (in grams): 3.273303707756322

Validation Metrics

Loss: 0.6093757748603821
Accuracy: 0.8333333333333334
Macro F1: 0.7937936978656889
Micro F1: 0.8333333333333334
Weighted F1: 0.8239843785760546
Macro Precision: 0.8988882462566673
Micro Precision: 0.8333333333333334
Weighted Precision: 0.8404982541824647
Macro Recall: 0.7805142534864643
Micro Recall: 0.8333333333333334
Weighted Recall: 0.8333333333333334

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/Jush/autonlp-bp-29016523

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Jush/autonlp-bp-29016523", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Jush/autonlp-bp-29016523", use_auth_token=True)

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

outputs = model(**inputs)