Text Classification
Transformers
Safetensors
Portuguese
educability_ensemble
portuguese
modernbert
education
educability
ordinal-classification
synthetic-labels
custom_code
Instructions to use gregassagraf/educability-norberto-4class-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gregassagraf/educability-norberto-4class-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gregassagraf/educability-norberto-4class-v1", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("gregassagraf/educability-norberto-4class-v1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from gregassagraf/educability-norberto-4class-v1: direct link, hf CLI and curl.
- Browser
- Download file 3.66 MB
-
https://huggingface.co/gregassagraf/educability-norberto-4class-v1/resolve/main/tokenizer.json
- Command line
-
hf download hf://gregassagraf/educability-norberto-4class-v1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/gregassagraf/educability-norberto-4class-v1/resolve/main/tokenizer.json
3.66 MB
File too large to display, you can check the raw version instead.