metadata

tags: autotrain
language: unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - justpyschitry/autotrain-data-Psychiatry_Article_Identifier
co2_eq_emissions: 13.4308931494349

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 990132822
CO2 Emissions (in grams): 13.4308931494349

Validation Metrics

Loss: 0.3777158558368683
Accuracy: 0.9177471636952999
Macro F1: 0.9082952086962773
Micro F1: 0.9177471636952999
Weighted F1: 0.9175376430905807
Macro Precision: 0.9175123149319843
Micro Precision: 0.9177471636952999
Weighted Precision: 0.9185452324503698
Macro Recall: 0.9042000199743617
Micro Recall: 0.9177471636952999
Weighted Recall: 0.9177471636952999

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/justpyschitry/autotrain-Psychiatry_Article_Identifier-990132822

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("justpyschitry/autotrain-Psychiatry_Article_Identifier-990132822", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("justpyschitry/autotrain-Psychiatry_Article_Identifier-990132822", use_auth_token=True)

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

outputs = model(**inputs)