Text Classification
Transformers
Safetensors
Portuguese
bert
ncm
classificacao-fiscal
agronegocio
experimento
text-embeddings-inference
Instructions to use AmandaGondra/ncm-classifier-bertimbau with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmandaGondra/ncm-classifier-bertimbau with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AmandaGondra/ncm-classifier-bertimbau")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AmandaGondra/ncm-classifier-bertimbau") model = AutoModelForSequenceClassification.from_pretrained("AmandaGondra/ncm-classifier-bertimbau", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!