| --- |
| 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 |
|
|
| ```python |
| 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: |
|
|
| ```bash |
| 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 |
| ``` |
