Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use leandroaraujodev/bert-base-portuguese-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leandroaraujodev/bert-base-portuguese-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leandroaraujodev/bert-base-portuguese-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leandroaraujodev/bert-base-portuguese-cased") model = AutoModelForSequenceClassification.from_pretrained("leandroaraujodev/bert-base-portuguese-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2317b68ec8a3517d31516ac8c357a0d265a70a0f1a9ae1161a474255bcced027
- Size of remote file:
- 436 MB
- SHA256:
- df3c837287c143a27b7b3bc35f6960371135edbfdb4331f959632f500aa5726e
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