Text Classification
Transformers
Safetensors
English
modernbert
Mixture of Experts
text-embeddings-inference
Instructions to use suayptalha/Medical-Router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suayptalha/Medical-Router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="suayptalha/Medical-Router")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("suayptalha/Medical-Router") model = AutoModelForSequenceClassification.from_pretrained("suayptalha/Medical-Router", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from suayptalha/Medical-Router: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/suayptalha/Medical-Router/resolve/main/tokenizer.json
- Command line
-
hf download hf://suayptalha/Medical-Router/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/suayptalha/Medical-Router/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.