autotrain-trec-fine-bert-739422530 – AI Model by ndavid | AlphaNeural AI

You can deploy this model and start earning money today!

ndavid/
autotrain-trec-fine-bert-739422530

like

0

text-classification

ndavid/autotrain-data-trec-fine-bert

co2_eq_emissions

autotrain_compatible

endpoints_compatible

Views

No views yet

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 739422530
CO2 Emissions (in grams): 0.02238820299105448

Validation Metrics

Loss: 0.36623290181159973
Accuracy: 0.9321753515301903
Macro F1: 0.9066706944656866
Micro F1: 0.9321753515301903
Weighted F1: 0.9314858667247282
Macro Precision: 0.9489233194839841
Micro Precision: 0.9321753515301903
Weighted Precision: 0.9347346558570125
Macro Recall: 0.8842587178845419
Micro Recall: 0.9321753515301903
Weighted Recall: 0.9321753515301903

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/ndavid/autotrain-trec-fine-bert-739422530

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("ndavid/autotrain-trec-fine-bert-739422530", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ndavid/autotrain-trec-fine-bert-739422530", use_auth_token=True)

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

outputs = model(**inputs)