autotrain-chemprot-re-838426740 – AI Model by pier297 | AlphaNeural AI

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pier297/
autotrain-chemprot-re-838426740

like

0

text-classification

pier297/autotrain-data-chemprot-re

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 838426740
CO2 Emissions (in grams): 0.0911766483095575

Validation Metrics

Loss: 0.3866589665412903
Accuracy: 0.9137332672285573
Macro F1: 0.6518117007658014
Micro F1: 0.9137332672285573
Weighted F1: 0.9110993117549759
Macro Precision: 0.649358664024301
Micro Precision: 0.9137332672285573
Weighted Precision: 0.9091854625539633
Macro Recall: 0.6551854233645032
Micro Recall: 0.9137332672285573
Weighted Recall: 0.9137332672285573

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/pier297/autotrain-chemprot-re-838426740

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("pier297/autotrain-chemprot-re-838426740", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("pier297/autotrain-chemprot-re-838426740", use_auth_token=True)

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

outputs = model(**inputs)