LRO_v1.0.2b – AI Model by PhucLe | AlphaNeural AI

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PhucLe/
LRO_v1.0.2b

like

0

text-classification

PhucLe/autotrain-data-LRO_v1.0.2b

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1350751935
CO2 Emissions (in grams): 5.0276

Validation Metrics

Loss: 0.685
Accuracy: 0.833
Macro F1: 0.833
Micro F1: 0.833
Weighted F1: 0.833
Macro Precision: 0.838
Micro Precision: 0.833
Weighted Precision: 0.838
Macro Recall: 0.833
Micro Recall: 0.833
Weighted Recall: 0.833

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/PhucLe/autotrain-LRO_v1.0.2b-1350751935

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("PhucLe/autotrain-LRO_v1.0.2b-1350751935", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("PhucLe/autotrain-LRO_v1.0.2b-1350751935", use_auth_token=True)

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

outputs = model(**inputs)