Text Classification
Transformers
Safetensors
Portuguese
modernbert
portuguese
educability
knowledge-distillation
ordinal-classification
synthetic-labels
text-embeddings-inference
Instructions to use gregassagraf/educability-norberto-mini-4class-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gregassagraf/educability-norberto-mini-4class-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gregassagraf/educability-norberto-mini-4class-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gregassagraf/educability-norberto-mini-4class-v1") model = AutoModelForSequenceClassification.from_pretrained("gregassagraf/educability-norberto-mini-4class-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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