README.md

metadata

license: mit
library_name: transformers
pipeline_tag: text-classification
tags:
  - medical
  - text-classification
  - distilbert

Medical Text Classifier

This model classifies text as medical or non-medical using DistilBERT.

Usage

from transformers import DistilBertTokenizer, DistilBertForSequenceClassification

tokenizer = DistilBertTokenizer.from_pretrained("PSSSSA/classifierctmodel")
model = DistilBertForSequenceClassification.from_pretrained("PSSSSA/classifierctmodel")

Step 3: Wait and Check Again

After updating the README:

1. Wait 5-10 minutes for Hugging Face to process
2. Refresh your model page
3. Look for the inference widget

Step 4: Alternative - Test with curl

Try this curl command to see the raw response:

curl -X POST \
  -H "Authorization: Bearer API" \
  -H "Content-Type: application/json" \
  -d '{"inputs": "I have a headache"}' \
  https://api-inference.huggingface.co/models/PSSSSA/classifierctmodel